Fact-checked by Grok 2 weeks ago

Technology education


Technology education is an academic discipline that promotes technological and engineering literacy by enabling students to comprehend technology's core concepts, design and develop technological systems, and evaluate their societal and environmental impacts through hands-on, problem-solving activities. It distinctively emphasizes the processes of technological innovation, including criteria-based design, prototyping, and iterative refinement, rather than mere vocational skills or digital tool usage.
The field traces its roots to 19th-century manual training programs, evolving through industrial arts curricula into modern standards-based technology education by the late 20th century, driven by the need to equip citizens for a technology-dependent economy. The International Technology and Engineering Educators Association (ITEEA) publishes the Standards for Technological and Engineering Literacy (STEL), which outline essential knowledge in areas such as the engineered world, design technologies, and links between technology and other disciplines, applicable from pre-kindergarten through grade 12. These standards facilitate integrative STEM education, fostering skills like systems thinking and ethical decision-making in technological contexts, which empirical reviews link to improved problem-solving competencies and preparation for engineering-related careers. Despite its emphasis on causal understanding of technological development, technology education faces challenges in consistent implementation amid competing curricular priorities and occasional conflation with educational technology tools.

Definition and Scope

Core Concepts and Distinctions

Technology education, also referred to as technology and engineering education, encompasses the systematic study of technology as a discipline, emphasizing the processes of design, production, and evaluation of technological systems and artifacts to foster technological literacy among students. This field integrates principles from science, engineering, and mathematics through problem-based learning, enabling learners to apply knowledge to real-world challenges rather than rote memorization. At its foundation lies the recognition that technology is a human-made endeavor involving the purposeful application of knowledge to meet needs, distinct from natural phenomena studied in science. Central to technology education are the core concepts of technology, which include systems (interconnected components functioning toward goals), processes (sequences of actions transforming inputs to outputs), resources (materials, energy, information, and human capital), and optimization (balancing criteria such as cost, safety, and performance under constraints). These concepts, outlined in the International Technology and Engineering Educators Association (ITEEA) Standards for Technological and Engineering Literacy (STELs, 2020), guide curricula to develop skills in identifying trade-offs, iterating designs, and assessing impacts on society and the environment. Technological literacy, a primary outcome, is defined as the capacity to use, manage, evaluate, and comprehend technological products and systems, extending beyond mere proficiency to critical analysis of technology's ethical, cultural, and ecological ramifications. Empirical assessments, such as those aligned with STELs, demonstrate that instruction in these concepts enhances students' ability to engage in iterative problem-solving, with studies showing improved performance in design tasks by 20-30% when core concepts are explicitly taught. Key distinctions separate technology education from adjacent fields. Unlike vocational or career-technical education, which prioritizes job-specific skills for immediate workforce entry (e.g., welding or machining trades), technology education adopts a broader, pre-professional approach applicable across industries, emphasizing conceptual understanding over narrow trade mastery to prepare students for diverse technological futures. In contrast to engineering education, typically post-secondary and focused on advanced mathematical modeling and professional practice, technology education targets K-12 learners with accessible, hands-on experiences in the engineering design process without requiring calculus-level prerequisites. Relative to STEM education, which often silos science, technology, engineering, and mathematics, technology education uniquely foregrounds the integrative "T" through multidisciplinary design projects, viewing technology not as a tool but as a core human activity warranting standalone study. It diverges from educational technology (edtech), which employs digital tools to facilitate teaching across subjects, by instead examining technology's invention, evolution, and societal role as the curriculum's substance. These boundaries ensure technology education cultivates adaptable thinkers capable of navigating technological change, supported by longitudinal data indicating higher innovation readiness among its graduates compared to siloed STEM cohorts.

Objectives and Technological Literacy

The primary objectives of technology education are to cultivate technological and engineering literacy among students, equipping them with the knowledge, skills, and dispositions necessary to engage meaningfully with technology in a society increasingly shaped by engineered systems and processes. This literacy encompasses the ability to comprehend the nature and core concepts of technology, apply design principles to solve problems, evaluate technological impacts on society and the environment, and participate ethically in technological development. Such goals emphasize not mere tool proficiency but a deeper understanding of how technologies evolve, integrate with other disciplines like science and mathematics, and influence human capabilities, as outlined in frameworks developed for PreK-12 curricula. Central to these objectives is the Standards for Technological and Engineering Literacy (STEL), published by the International Technology and Engineering Educators Association (ITEEA) in 2020 with support from the National Science Foundation. STEL reduces prior standards to eight core disciplinary areas, providing developmentally progressive benchmarks across grade bands from PreK-2 to 9-12: (1) the nature and characteristics of technology; (2) core concepts such as systems and feedback loops; (3) integration of technological knowledge with other fields; (4) impacts on individuals, society, and the environment; (5) societal influences on technological development; (6) historical evolution of technologies; (7) engineering design processes; and (8) skills in applying, maintaining, and assessing technologies. These standards aim to build students' capacity to optimize designs under constraints, recognize trade-offs in systems, and critically assess sustainability, with early grades focusing on basic recognition (e.g., identifying everyday technologies) and advanced levels emphasizing evaluation and innovation (e.g., analyzing ethical implications of AI or energy systems). Complementing the core standards, STEL incorporates eight technology and engineering practices—such as systems thinking, critical reasoning, collaboration, and ethical consideration—and eight contextual domains, including computation, transportation, medical technologies, and agriculture, to ensure practical application. The overarching goal is for students to emerge from K-12 education as informed decision-makers capable of using technology to address real-world challenges while mitigating unintended consequences, like resource depletion or social disruptions, thereby fostering causal awareness of technology's role in progress and risk. This approach aligns with empirical needs in a workforce where, as of 2023, over 70% of U.S. jobs require digital or technological competencies, underscoring the standards' emphasis on verifiable skills over rote consumption.

Historical Development

Origins in Industrial Arts (19th-Early 20th Century)

The roots of technology education trace to manual training programs in the 19th-century United States, which emphasized hands-on instruction in woodworking, metalworking, and drawing to foster discipline, precision, and practical skills amid the Industrial Revolution's demands for a skilled labor force. These initiatives drew from European models, particularly the Swedish Sloyd system developed in the 1870s, which integrated craft-based learning to develop character, manual dexterity, and problem-solving without direct vocational aims. Sloyd's influence arrived via interpreters like Gustaf Larsson, who adapted it for American contexts, promoting sequential skill-building from simple tools to complex projects as a means of holistic education rather than mere trade preparation. A pivotal catalyst was the 1876 Philadelphia Centennial Exposition, which showcased industrial machinery and European educational exhibits, inspiring American educators to advocate for systematic manual instruction in public schools to counterbalance rote academic learning and prepare youth for mechanized economies. Early implementations included drawing programs under figures like Walter Smith, appointed in Massachusetts in 1871 to mandate freehand and industrial drawing in Boston schools by 1879, emphasizing geometric forms and mechanical reproduction for industrial applicability. The first dedicated manual training high school opened on June 7, 1880, at Washington University in St. Louis under Calvin M. Woodward, offering courses in carpentry, turning, and pattern-making to about 30 students, marking a shift toward structured, school-based technical training. By the early 20th century, manual training evolved into industrial arts, broadening beyond narrow craft drills to include appreciation of manufacturing processes and materials, influenced by progressive educators like John Dewey who viewed such work as integral to experiential learning. Programs expanded in the 1880s and 1890s, with high schools in cities like New York and Chicago incorporating shops for metal and wood manipulation, though debates persisted over whether to prioritize cultural enrichment or workforce readiness, reflecting tensions between general education and vocationalism. This period laid the groundwork for technology education by institutionalizing hands-on methods, with enrollment in manual training courses reaching thousands by 1900, though implementation varied due to resource constraints and teacher shortages.

Expansion and Standardization (Mid-20th Century to 1980s)

Following World War II, industrial arts education expanded significantly in the United States amid the baby boom and rapid growth in secondary school enrollment, which necessitated broader vocational and technical training to prepare students for an industrial economy. By the 1950s, industrial arts programs were integrated into the life-adjustment movement, emphasizing practical skills for the non-college-bound majority, as advocated by educators like Charles Prosser in 1945, positioning the field as a core component of general education rather than elite manual training. This era saw enrollment in industrial arts teacher education peak, with over 1,000 educators employed across major programs in states like Missouri, Pennsylvania, Ohio, and California by 1952. The 1950s and 1960s marked a shift toward greater academic rigor and standardization, driven by Cold War imperatives and critiques of progressive education. The launch of Sputnik in 1957 heightened national focus on science and technology, prompting the National Defense Education Act of 1958 to bolster technical curricula, while scholars like Arthur Bestor in his 1953 book Educational Wastelands decried vocationalism's dilution of core academics, pushing industrial arts to adopt a more technocratic orientation. Curriculum standardization advanced through William E. Warner's framework (1946–1947), which reorganized content into five technological areas—communication, construction, power and control, transportation, and manufacturing—later expanded by Delmar Olson in 1958 to include electronics, research, management, and service industries. The Industrial Arts Curriculum Project (IACP), launched in 1966 under James Towers, Clyde Lux, and Vernon Ray, further standardized an industry-centered approach, producing widely adopted materials that emphasized systematic technological processes over isolated crafts. In the 1970s, ongoing reforms sought to elevate industrial arts as a discipline amid societal technological acceleration and economic shifts, with Paul DeVore's 1964 conceptualization framing it as a study of technological literacy and systems. The 1976 amendments to the Vocational Education Act (PL 94-482) formalized federal funding eligibility for industrial arts, enabling broader implementation and tying programs to career preparation standards. Donald Maley's Maryland Plan, developed from 1947 and published in 1973, promoted child-centered, modular curricula that influenced national expansion by integrating hands-on projects with emerging technologies like electronics. The American Industrial Arts Association (AIAA) issued guidelines during this decade to unify practices, though debates persisted over balancing practical skills with abstract concepts. By the late 1970s and into the 1980s, standardization efforts coalesced around a transition to "technology education," reflecting critiques of industrial arts' craft-centric legacy amid rapid innovation in computing and automation. The Jackson's Mill project in 1981, building on prior work, delineated four core systems—construction, manufacturing, transportation, and communication—for nationwide curricula, prioritizing causal understanding of technological impacts over rote production. States like New York formalized this shift in 1980 via the "Futuring Project," renaming programs to emphasize technological processes, while the AIAA's evolution toward the International Technology Education Association in 1985 underscored the field's reorientation, despite resistance from traditionalists concerned about eroding hands-on identity. These changes, rooted in empirical responses to industrial evolution, positioned technology education as a standardized vehicle for fostering problem-solving and systems thinking in schools.

Contemporary Evolution (1990s-Present)

In the 1990s, technology education underwent a conceptual reorientation from craft-oriented industrial arts toward broader technological literacy, driven by the proliferation of personal computers and early internet access, which necessitated curricula addressing digital systems and information processing. This period saw professional organizations like the International Technology Education Association (ITEA) advocate for standards emphasizing design processes, technological impacts on society, and problem-solving with emerging tools, reflecting empirical needs in a post-industrial economy where manual skills alone proved insufficient for workforce demands. By 2000, ITEA formalized this shift with the Standards for Technological Literacy: Content for the Study of Technology, comprising 20 standards across five categories—nature of technology, technology and society, design, abilities for a technological world, and engineered systems—intended to equip students with verifiable competencies like prototyping and evaluating technological solutions. These standards, developed through consensus among educators and industry stakeholders, prioritized causal understanding of innovation over rote vocational training, with benchmarks for grades K-12 ensuring progressive skill acquisition, such as middle school students analyzing feedback loops in control systems. The 2000s extended this framework by integrating technology education into STEM initiatives, where hands-on projects in areas like biotechnology and electronics complemented abstract science and math, fostering causal reasoning about engineered systems. Federal policies, such as the U.S. No Child Left Behind Act of 2001, indirectly bolstered this by encouraging standards-aligned electives, though implementation varied, with enrollment in technology courses reaching approximately 3.5 million U.S. secondary students by mid-decade per National Center for Education Statistics data. Empirical studies from this era, including those by the National Research Council, highlighted improved student outcomes in spatial reasoning and iterative design when curricula incorporated computer-aided design (CAD) software, yet revealed gaps in teacher preparation, where only 40% of instructors reported adequate training in digital tools by 2007. This integration underscored technology education's role in addressing real-world causal chains, such as resource constraints in manufacturing, rather than isolated skills. From the 2010s onward, rapid advancements in digital fabrication—exemplified by widespread adoption of 3D printers and Arduino-based robotics—prompted curriculum updates emphasizing computational thinking and maker spaces, with over 70% of U.S. schools reporting makerspace implementation by 2018 according to a Fab Foundation survey. The ITEEA's 2020 Standards for Technological and Engineering Literacy (STEL) refined prior benchmarks to include data analytics and ethical considerations in automation, responding to empirical evidence from PISA assessments showing U.S. students lagging in applying technology to novel problems. Concurrently, coding initiatives like Code.org expanded access, training 60 million learners by 2023 through partnerships with districts, though randomized trials indicated mixed impacts on deeper engineering literacy without structured project-based learning. Challenges persisted, including digital divides where low-income districts allocated 20-30% less per pupil for tech infrastructure, per 2022 Education Week reports, and over-reliance on devices risking diminished hands-on manipulation skills, as evidenced by longitudinal studies linking excessive screen time to reduced physical prototyping proficiency. In the present decade, technology education has increasingly incorporated AI and sustainable engineering, with curricula adapting to tools like machine learning kits in 15% of U.S. high schools by 2024, per a Brookings Institution analysis, aiming to cultivate causal foresight in areas like climate-adaptive tech. Professional bodies emphasize evidence-based pedagogy, such as inquiry-driven labs yielding 25% gains in problem-solving metrics per meta-analyses, yet critique unsubstantiated equity-focused reforms that dilute core competencies in favor of access without mastery. Globally, this evolution mirrors U.S. trends but contends with resource disparities, underscoring the field's commitment to verifiable technological agency over ideological framing.

Curriculum and Pedagogy

Key Topics and Skills Taught

Technology education programs focus on developing students' ability to understand, design, and apply technological systems through hands-on activities and problem-solving. Central to the curriculum is the engineering design process, which involves defining problems, generating ideas, prototyping solutions, testing, and iterating based on feedback to optimize outcomes under constraints like resources and safety. This process is applied across grade levels, starting with exploratory play in early education and advancing to data-driven optimization in high school. Key topics align with the eight core standards outlined in the International Technology and Engineering Educators Association's (ITEEA) Standards for Technological and Engineering Literacy (STELs), released in 2020. These include:
  • The nature and characteristics of technology and engineering, covering how inventions evolve and systems function.
  • Core concepts such as systems, processes, controls, resources, requirements, optimization, and trade-offs.
  • Integration of technology with science, mathematics, and other disciplines to address real-world challenges.
  • Societal, environmental, and economic impacts of technology, including sustainability and ethical considerations.
  • The influence of societal needs and values on technological development.
  • Historical evolution of technologies and their role in human progress.
  • Design principles specific to engineering contexts.
  • Maintenance, assessment, and troubleshooting of technological products and systems.
Curricula apply these topics within eight contextual areas: computation, automation, artificial intelligence, and robotics; material conversion and processing; transportation and logistics; energy and power; information and communication; the built environment; medical and health-related technologies; and agricultural and biological technologies. Students explore these through projects like building simple circuits, designing structures, or programming basic robots, fostering comprehension of how technologies interconnect and evolve. Essential skills emphasize technological and engineering practices, known as habits of mind, which include systems thinking to analyze interactions and feedback loops; creativity in ideation; making and doing via prototyping with tools like CAD software, electronics kits, or 3D printers; critical thinking for evaluating designs; optimism in persisting through failures; collaboration in team-based projects; effective communication of processes; and attention to ethics in assessing consequences. These skills build progressively, with younger students focusing on basic modeling and safety, while older learners engage in complex analysis, such as selecting materials based on cost, availability, and environmental impact, or repairing systems through diagnostic testing. Hands-on projects, such as constructing electromechanical devices or simulating logistics systems, reinforce these competencies, preparing students for iterative problem-solving in technical fields.

Instructional Methods and Standards

Instructional methods in technology education center on experiential, student-centered approaches that align with standards defining technological literacy, such as the International Technology and Engineering Educators Association's (ITEEA) Standards for Technological and Engineering Literacy (STEL), released in 2020. STEL comprises 33 standards structured across core disciplinary concepts (e.g., the nature of technology and engineering design), technology and engineering practices (e.g., defining problems and optimizing solutions), and contexts (e.g., agriculture, energy, and manufacturing), providing a framework for PreK-12 curricula to ensure students can critically analyze technological systems and their societal implications. These standards guide instruction by embedding disciplinary knowledge into practical activities, prioritizing iterative processes over passive lecture-based delivery to foster problem-solving and innovation skills verifiable through student artifacts and assessments. Project-based learning (PBL) serves as a primary method, involving students in extended investigations of real-world challenges, such as designing sustainable energy prototypes, which research demonstrates significantly enhances competencies in innovation, collaboration, critical analysis, and algorithmic thinking. PBL's effectiveness stems from its alignment with STEL practices, enabling iterative testing and refinement, with meta-analyses confirming improvements in science and STEAM learning outcomes averaging moderate to high effect sizes. Complementing PBL, design-based learning (DBL) integrates inquiry with artifact creation, as in courses where students apply engineering principles to develop functional models, yielding gains in technical skills like web design proficiency and deeper conceptual understanding. Laboratory and workshop-based instruction operationalizes these methods through hands-on engagement with tools like computer-aided design (CAD) software, 3D printers, and robotics, directly supporting STEL contexts by simulating industrial processes and requiring students to evaluate design trade-offs empirically. Assessment standards emphasize authentic evaluation via portfolios, peer reviews, and performance demonstrations rather than standardized tests alone, ensuring measurable progress in standards like developing technological systems or understanding ethical constraints. While these approaches demand resource-intensive facilities, evidence from engineering pedagogy reviews indicates they outperform traditional methods in building causal reasoning about technology's role in society, provided instructors receive targeted professional development.

Global Perspectives

Implementation in the United States

Technology education in the United States is implemented primarily through Career and Technical Education (CTE) programs within K-12 public schools, focusing on developing technological literacy via hands-on instruction in design processes, engineering principles, and systems thinking. The International Technology and Engineering Educators Association (ITEEA) provides national standards through Standards for Technological and Engineering Literacy: The Role of Technology and Engineering in STEM Education (STELs), released in 2020, which outline core disciplinary standards, practices, and contextual applications for grades pre-K-12 to ensure students understand technology's nature, impacts, and optimization. These standards emphasize three dimensions: core concepts (e.g., systems, innovation), engineering design practices (e.g., defining problems, prototyping), and contexts (e.g., agriculture, manufacturing), guiding curriculum development across states. Federal support for technology education occurs via the Strengthening Career and Technical Education for the 21st Century Act (Perkins V), signed into law on July 31, 2018, which allocates approximately $1.2 billion annually to states for CTE programs, including those in technology and engineering fields, to enhance program quality, alignment with workforce needs, and special populations' access. States distribute these funds to local education agencies, requiring alignment with rigorous academic standards and industry-recognized credentials, though implementation varies by state policies on course sequencing, teacher certification, and integration with core subjects. Nearly all states incorporate CTE curricula that include technology education components, often as elective sequences in middle and high schools, with 43 states permitting dual enrollment for CTE credits toward postsecondary pathways as of 2023. Participation in CTE, encompassing technology education, is widespread, with over 8 million secondary students enrolled in 2021–22, representing about 85% of 2019 high school graduates who earned at least one CTE credit. Programs typically feature lab-based courses in areas like manufacturing, construction, and digital electronics, supported by facilities such as technical education centers, and aim to prepare students for both immediate workforce entry and further education, with CTE concentrators showing higher postsecondary enrollment rates in vocational fields. Over 90% of public high schools offer CTE courses, though disparities exist in rural and urban access, prompting Perkins-funded efforts to expand equipment and instructor professional development.

Approaches in Europe and Other Developed Regions

In Europe, technology education is integrated into national curricula and supported by EU-wide initiatives emphasizing digital competence, STEM skills, and vocational training. The European Commission's Digital Education Action Plan (2021-2027) promotes inclusive digital learning, including computational thinking and ICT integration across subjects, with member states required to incorporate these elements into school frameworks. The EU STEM Education Strategic Plan, endorsed in March 2025, addresses shortages in STEM competencies by enhancing teacher training and curriculum quality to boost innovation and employability. A 2019 Eurydice report on digital education across 39 European systems found that 72% of countries include digital competence as a distinct curriculum area, often mandatory from primary levels, though implementation varies by nation. Germany exemplifies a dual vocational education and training (VET) system, where apprenticeships in technical fields blend classroom instruction with on-the-job experience, typically lasting three years with approximately 75% work-based learning. This approach, covering sectors like information technology and engineering, has contributed to low youth unemployment rates of around 6% in 2023, as apprentices gain practical skills directly applicable to industry needs. In contrast, the United Kingdom's National Curriculum for Design and Technology (D&T), revised in 2013, mandates practical activities in designing and making products across key stages 1-3 (ages 5-14), fostering iterative problem-solving and technical knowledge without specialized vocational tracks at secondary levels. Other nations, such as Finland, emphasize broad technological literacy in comprehensive schools, with recent curriculum frameworks incorporating maker spaces and programming from early grades. In other developed regions, approaches prioritize computational and design skills within compulsory education. Australia's national Technologies curriculum, implemented from Foundation to Year 10 since 2015, separates Digital Technologies—focusing on coding, data, and systems thinking—from Design and Technologies, aiming to equip students with foundational programming skills; by 2023, all states had adopted elements, though rural access remains uneven. Canada's provincial systems show diversity, with Ontario and British Columbia integrating technology education through courses in robotics, electronics, and software design from grades 7-12, often aligned with STEM mandates, but lacking a unified national framework, leading to inconsistent depth across regions. Japan and South Korea, meanwhile, embed technology in integrated science curricula, with South Korea's 2022 reforms mandating AI and robotics from elementary school to address workforce demands in high-tech industries. These models reflect a causal emphasis on early skill-building for economic competitiveness, supported by data showing higher STEM enrollment correlating with GDP growth in tech sectors.

Challenges in Developing Countries

In low- and middle-income countries, technical and vocational education and training (TVET) systems, which encompass technology education, often fail to align with labor market demands, resulting in persistent skill mismatches that hinder economic productivity and youth employment. A 2023 joint report by UNESCO, the World Bank, and the International Labour Organization analyzed TVET in these regions and found that curricula and training programs inadequately prepare graduates for industry needs, with only limited integration of practical technology skills like digital manufacturing or renewable energy systems. This disconnect stems from outdated infrastructure and weak industry partnerships, exacerbating unemployment rates among TVET graduates, which can exceed 20% in sectors like manufacturing and IT services in sub-Saharan Africa and South Asia. Infrastructure deficits pose a foundational barrier, including unreliable electricity supply and limited internet connectivity, which restrict hands-on technology education such as computer-aided design or robotics training. In many rural areas of developing nations, schools lack basic power grids, with electrical outages averaging over 200 days per year in parts of Africa, rendering equipment like CNC machines or lab simulators unusable for extended periods. The 2023 UNESCO Global Education Monitoring Report highlighted that inadequate digital infrastructure affects teacher integration of technology, with surveys from 165 countries showing that over 50% of educators in low-income settings report insufficient devices or bandwidth for practical lessons. This digital divide is acute in remote regions, where only 30-40% of schools have internet access compared to urban centers, limiting exposure to global standards in fields like automation and data analytics. Human resource challenges, particularly teacher training and retention, further compound these issues, as educators often lack specialized skills in emerging technologies. Professional development programs in developing countries rarely emphasize ed-tech pedagogy, leaving instructors unprepared to deliver competency-based TVET modules on topics like cybersecurity or sustainable engineering. The World Bank's 2023 analysis of TVET reforms noted that teacher deployment to underserved areas, such as remote or impoverished districts, suffers from shortages, with pupil-to-qualified-instructor ratios exceeding 50:1 in technical programs across low-income nations. Cultural and socioeconomic barriers, including gender disparities and stigma against vocational paths, reduce enrollment, especially among disadvantaged youth, where access to TVET is impeded by economic pressures forcing early labor entry. Funding constraints and governance weaknesses perpetuate low-quality outcomes, with public investment in TVET averaging less than 1% of GDP in many low-income countries, insufficient for modernizing facilities or procuring tools. Policymakers face pressures from commercial vendors promoting hardware without evidence-based integration, leading to underutilized investments and equity gaps that favor urban elites over rural populations. Despite initiatives like mobile tech deployments to bridge gaps, systemic reforms remain stalled by bureaucratic inertia and insufficient data on program efficacy, underscoring the need for client-oriented, evidence-driven approaches to enhance relevance and scalability.

Integration with Broader Education Frameworks

Relation to STEM and STEAM

Technology education constitutes the core of the "T" in STEM (Science, Technology, Engineering, and Mathematics), emphasizing hands-on instruction in designing, producing, and evaluating technological systems to solve practical problems. This discipline integrates with STEM by applying technological knowledge to interdisciplinary projects, such as constructing prototypes that require mathematical modeling, scientific principles of materials, and engineering processes. For instance, standards from organizations like the International Technology and Engineering Educators Association (ITEEA) align technology education with STEM goals by fostering skills in innovation and systems thinking, which are applied across science and math curricula to enhance problem-solving efficacy. Empirical studies indicate that such integration improves student engagement in STEM fields, with technology-based activities correlating to higher retention rates in engineering pathways compared to siloed subject teaching. In contrast to traditional science or math instruction, technology education within STEM prioritizes experiential learning over rote memorization, enabling students to iterate on designs using tools like CAD software or robotics kits, thereby bridging theoretical concepts with real-world applications. This approach addresses a historical underemphasis on the "T" and "E" in early STEM frameworks, where technology was sometimes conflated with mere computer literacy rather than comprehensive systems design, leading to calls for distinct technology education to ensure balanced skill development. U.S. initiatives, such as those from the National Science Foundation since the early 2000s, have formalized this relation by funding programs that embed technology education labs in schools, resulting in measurable gains in student proficiency in applied engineering tasks by 2010s evaluations. The evolution to STEAM (STEM plus Arts) further enriches technology education by incorporating creative disciplines like visual design and aesthetics, transforming technical projects into holistic endeavors that emphasize user-centered innovation. In STEAM contexts, technology education leverages arts to enhance prototyping, as seen in curricula where students blend engineering with graphic design to develop functional artifacts, fostering divergent thinking alongside technical precision. This addition counters potential STEM rigidity by promoting creativity, with research showing STEAM interventions yielding 15-20% improvements in problem-solving creativity scores among middle schoolers compared to pure STEM models. However, effective STEAM implementation requires careful alignment to avoid diluting core technological competencies, prioritizing evidence-based arts integration over superficial additions.

Interdisciplinary Connections and Applications

Technology education establishes connections with humanities disciplines by incorporating language arts and literary influences into the analysis of communication technologies, such as printing presses and digital hypermedia, which have historically shaped rhetorical practices and cultural narratives since the late 19th century. This integration promotes critical examination of technology's societal role, as outlined in early interdisciplinary guidelines from 1982 that emphasized human fulfillment beyond mere technical proficiency. Similarly, links to social sciences highlight technology's historical and contemporary effects on communities, including agriculture, manufacturing, and healthcare systems, aligning with national standards developed in 1997 that require students to evaluate these impacts. In business contexts, technology education applies systems design and production skills to organizational challenges, such as optimizing transportation logistics or food supply chains, through curricula like TechEdge programs for elementary levels that simulate real enterprise operations. Arts integration occurs via creative applications like animation and 3D modeling in computer-aided design, extending to entertainment industries where these tools enable prototyping for media production. Environmental connections focus on adaptive technological systems for resource sustainability, teaching design principles that mimic natural processes to create life-sustaining habitats, as explored in projects dating to the 1994 Technology, Science, Mathematics Integration initiative. Practical applications span multiple fields; for instance, problem-solving modules like Learning by Design, implemented in middle schools since the 1990s, equip students with engineering skills transferable to healthcare device prototyping or environmental monitoring tools. In business, these competencies support innovation in product development, with hands-on activities fostering entrepreneurial prototyping akin to those in the Craftsman/NSTA Young Inventors Awards, active since the early 2000s for grades 2-5. Health applications include ergonomic designs enhancing quality of life, while environmental projects apply construction techniques—such as in the "Three Little Pigs" curriculum unit—to model resilient structures against natural hazards. These interdisciplinary efforts, evidenced in NSF-funded programs from the 1990s, demonstrate technology education's role in cultivating versatile skills for cross-domain problem resolution.

Recent Developments and Innovations

Adoption of Digital and Maker Technologies

The adoption of digital technologies in technology education has accelerated since the mid-2010s, driven by initiatives to integrate computational thinking and coding into K-12 curricula. By 2024, over 70% of U.S. middle schools had incorporated coding classes as core components of their programs, reflecting a broader push toward STEM proficiency. This trend was amplified by the COVID-19 pandemic, which prompted widespread shifts to online learning platforms and digital instructional tools, with 57% of K-12 students using digital tools daily in school settings by the early 2020s. However, post-pandemic device access at home declined from 95% in 2021 to 72% in 2023, highlighting uneven implementation and reliance on school-provided resources. Maker technologies, including 3D printing and robotics, have seen parallel growth in educational settings, often housed in dedicated makerspaces. Thousands of makerspaces now operate in U.S. schools, libraries, and community centers, fostering hands-on prototyping and engineering skills. The global educational robotics market reached USD 1.38 billion in 2024, with projections to expand to USD 5.84 billion by 2030, indicating robust institutional investment. Similarly, the 3D printing sector in education is forecasted to grow by USD 1.37 billion from 2024 to 2029 at a 14.8% CAGR, though adoption in formal K-12 environments remains slower than anticipated, with limited transformative effects on daily teaching observed five years after initial hype. These adoptions are supported by policy frameworks emphasizing practical skills for future workforces, yet face barriers such as teacher training gaps and infrastructure costs. Empirical studies note that while digital simulations and tools enhance interactive STEM learning, their integration requires sustained professional development to avoid superficial use. In higher education contexts, like teacher training programs, educational robot adoption stands at 46.93%, suggesting potential for K-12 diffusion through prepared educators. Overall, these technologies represent a shift toward experiential learning, with market data underscoring increasing availability despite persistent implementation challenges.

Influence of AI, VR/AR, and Computational Thinking (2020s Onward)

The integration of artificial intelligence (AI) into technology education curricula accelerated in the 2020s, particularly following the COVID-19 pandemic, with applications focusing on adaptive learning systems that personalize technical skill development. A 2025 study found that AI usage in educational settings significantly boosts student engagement and academic performance, with effect sizes indicating improved outcomes in vocational subjects like programming and data analysis. In vocational education and training (VET), AI tools automate routine assessments and simulate real-world troubleshooting, bridging gaps between theoretical knowledge and practical application as noted in a 2024 analysis of AI's transformative role in skill acquisition. However, empirical evidence remains preliminary, with peer-reviewed reviews emphasizing the need for longitudinal studies to verify long-term efficacy beyond short-term engagement gains. Virtual reality (VR) and augmented reality (AR) have emerged as key enablers of hands-on technical training without physical resources, with adoption surging post-2020 for simulating complex machinery operations and safety protocols in fields such as engineering and manufacturing. The global AR/VR market in education grew from $11.9 billion in 2023 to a projected $75 billion by 2033, driven by cost reductions in hardware and expanded use in career and technical education (CTE) programs. A 2025 empirical review of VR/AR implementations reported statistically significant improvements in student retention rates (up to 75% higher than traditional methods) and critical thinking skills in technical simulations, attributing gains to immersive experiential learning that mimics workplace environments. Despite these benefits, challenges persist in equitable access, as hardware requirements limit scalability in under-resourced institutions. Computational thinking (CT), encompassing skills like algorithmic reasoning and abstraction, has been systematically incorporated into technology education frameworks since the early 2020s to equip students with foundational competencies for AI-driven industries. Integration efforts, such as unplugged activities and STEM-aligned modules, have shown positive impacts on problem-solving abilities, with a 2025 dissertation documenting enhanced CT proficiency in K-12 technical courses through curriculum embedding. In VET contexts, CT training correlates with better adaptability to automation, as evidenced by professional development programs that yield measurable gains in logical decomposition and pattern recognition among trainees. These developments underscore CT's role in causal skill transfer, though implementation varies widely due to teacher preparation gaps. The confluence of AI, VR/AR, and CT has fostered hybrid models in technology education, such as AI-enhanced VR environments that require CT for scenario navigation, yielding combined effects on learning outcomes in technical domains. A 2025 study on AI-VR integration in art and technical education reported elevated student concentration and creativity, with deep learning mediated by these technologies. In CTE, this synergy supports employability by aligning training with labor market demands for digital literacy, though evidence from controlled trials indicates that over-reliance without foundational CT can diminish causal understanding of underlying principles. Overall, post-2020 innovations prioritize empirical validation, with ongoing research tracking workforce-relevant metrics like skill retention over two-year periods.

Challenges, Criticisms, and Debates

Equity, Access, and Merit-Based Concerns

Disparities in access to technology education persist primarily due to socioeconomic factors, exacerbating the digital divide that limits participation in programs requiring reliable internet, devices, and software. In the United States, as of 2021, only 59% of public school students eligible for free or reduced-price lunch (a proxy for low socioeconomic status) had high-speed broadband at home, compared to 79% of their higher-income peers, according to National Center for Education Statistics data. This gap widened during remote learning periods, with rural and low-income students reporting device shortages that impeded hands-on technical training and coding exercises. Recent analyses confirm that while overall connectivity has improved—reaching 95% of U.S. adults by 2023—home computer ownership drops to under 70% in households below the poverty line, directly constraining enrollment and completion rates in vocational technology courses. Achievement gaps in technology education outcomes align closely with socioeconomic status, race/ethnicity, and gender, with empirical studies attributing much of the variance to family resources and prior academic preparation rather than institutional bias alone. Low-SES students score 20-30 points lower on average in math and science assessments foundational to tech curricula, per Fordham Institute analysis of longitudinal data, even after adjusting for school quality. Racial gaps persist, with Black and Hispanic students lagging White and Asian peers by 25-40 points in technology-related proficiency tests, though socioeconomic controls explain up to 60% of these differences. Gender disparities show boys outperforming girls in computational and engineering tasks by 0.2-0.5 standard deviations in higher-SES districts, linked to differential interests and spatial reasoning rather than access alone. These patterns hold across K-12 and postsecondary tech programs, where underrepresented groups complete certifications at rates 15-20% below majority cohorts. Merit-based selection in technology education raises concerns that equity-driven policies—such as preferential admissions or lowered entry standards to boost demographic diversity—may dilute program rigor and produce graduates unprepared for skill-intensive fields. Harvard Business Review meta-analyses of diversity initiatives reveal that mandatory equity training yields no lasting improvements in inclusion and often triggers resentment or reduced performance among high-achievers, with effects dissipating within days. In vocational contexts, critics cite evidence from randomized evaluations showing DEI-focused interventions fail to close skill gaps and correlate with higher dropout rates in technical tracks, as mismatched placements prioritize representation over aptitude testing. Proponents of meritocracy argue that tech education's causal demands—mastery of coding, prototyping, and problem-solving—require unyielding standards to maintain workforce productivity, with data from National Skills Coalition indicating that foundational digital skills deficits among low-prepared entrants cost employers $50-100 billion annually in remediation. Empirical critiques, including those from peer-reviewed STEM equity reviews, warn that overemphasizing outcome parity ignores cultural and motivational factors driving disparities, potentially eroding innovation in meritocratic domains.

Empirical Critiques of Effectiveness and Implementation Flaws

A meta-analysis of 63 studies involving 124,166 students found that overall technology use, including smartphones and video games, has a small negative effect on academic performance (Cohen's d = -0.085), with smartphone addiction (d = -0.129) and video game engagement (d = -0.134) specifically linked to poorer outcomes due to impaired cognitive skills and distraction. Similarly, research on classroom laptop use indicates that device presence reduces cognitive capacity and long-term recall, as students engage in off-task activities like social media, leading to lower note quality and grades; prohibiting laptops has been shown to improve test scores. In reading comprehension, students perform worse with digital texts than print, with print materials enhancing understanding by 6-8 times more, particularly for children aged 6-12, due to shallower processing on screens. Literacy apps, often promoted in technology education, suffer from evidential gaps, with 77% of top-rated early literacy apps lacking rigorous research validation, complicating identification of truly effective tools. These findings suggest that technology integration frequently fails to yield sustained cognitive benefits and may exacerbate attention deficits and hyperactivity in adolescents. Implementation flaws compound these issues, including first-order barriers like inadequate infrastructure: as of 2009, U.S. classrooms averaged a 5.3:1 student-to-computer ratio, with persistent connectivity shortages limiting equitable access. Professional development remains insufficient, with training often prioritizing administrative tasks over pedagogical integration; only a minority of educators receive instruction in technological pedagogical content knowledge (TPACK), resulting in underutilization or misuse. Second-order barriers, such as teacher resistance and negative beliefs about technology's value, further hinder adoption, as educators satisfied with traditional methods view tech integration as time-intensive without clear advantages. Surveys indicate that up to 85% of edtech tools are poorly fitted or implemented, yielding weak returns on investment due to lack of ongoing support and misalignment with instructional goals. Excessive reliance on technology without qualified teacher oversight nullifies potential benefits, as evidenced by pandemic-era online learning's isolating effects and diminished engagement.

Potential Risks of Over-Reliance on Technology

Over-reliance on digital tools and artificial intelligence in technology education can foster dependency that undermines students' independent problem-solving abilities. Empirical studies indicate that frequent use of AI assistants, such as ChatGPT, correlates with reduced critical thinking skills, as students offload cognitive tasks to algorithms rather than engaging in iterative reasoning processes. For instance, a 2025 study found that participants aged 17–25, who exhibited higher AI dependence, scored lower on critical thinking assessments compared to older groups, suggesting a causal link between habitual reliance and diminished analytical capacity. Similarly, educators report concerns that generative AI tools may impede basic task mastery, with a majority fearing long-term dependence among students. This dependency extends to broader cognitive erosion, including weakened creativity and decision-making. Research on AI dialogue systems in higher education reveals that over-dependence detracts from independent judgment, potentially leading to acceptance of erroneous outputs without verification, as students prioritize efficiency over evaluation. A 2024 analysis highlights how technological shortcuts reduce practice in challenging tasks, resulting in less robust problem-solving and creative faculties over time. In technology education contexts, where simulations and virtual tools dominate, this risks devaluing hands-on manipulation of physical systems, such as circuitry or machinery, which builds tactile intuition essential for engineering innovation. Additional hazards include heightened vulnerability to systemic failures and privacy breaches. When educational processes hinge on digital infrastructure, disruptions like network outages or algorithmic biases can halt learning, exposing students to unmitigated risks without fallback analog competencies. Studies on AI integration note privacy invasions and data leakage as prevalent concerns, particularly in student-facing tools that collect behavioral data under opaque algorithms. Multitasking induced by device notifications further depletes attentional resources, impairing comprehension and retention in technical subjects requiring sustained focus. Empirical critiques underscore implementation flaws amplifying these risks, such as uneven access exacerbating skill gaps, where tech-savvy students advance while others lag, perpetuating inequities masked as progress. While proponents argue technology augments learning, evidence from controlled experiments shows overreliance prompts risky decisions in domains like financial modeling—relevant to tech education—due to uncritical trust in AI advice. Balancing integration with deliberate skill-building remains essential to mitigate these causal pathways toward cognitive atrophy.

Impact and Empirical Outcomes

Evidence from Student Performance Studies

A systematic review and meta-analysis of 24 studies on Career and Technical Education (CTE), which encompasses technology education pathways, found statistically significant positive effects on high school academic achievement, with an average effect size of 0.10 standard deviations across math and English outcomes. These effects were observed in both observational and quasi-experimental designs, though causal inference remains limited due to the scarcity of randomized controlled trials. The analysis also identified positive impacts on high school completion rates (effect size 0.12) and technical skill attainment, suggesting technology education contributes to broader student persistence and applied competency. Concentration in CTE courses, including technology-focused sequences like engineering or manufacturing, correlates with enhanced academic and behavioral outcomes; students taking two or more such courses showed higher GPAs and reduced disciplinary incidents compared to non-concentrators in a longitudinal study of over 10,000 high schoolers. Vocational programs, including technology education, have been linked to increased standardized test scores and engagement in some districts, with one analysis attributing a 5-10% uplift in math proficiency to hands-on technical curricula. However, effects on college-level achievement lack robust causal evidence, as post-secondary data primarily show associations rather than direct causation. Critiques highlight potential trade-offs: intensive technology education may divert time from core academics, yielding null or negative effects on college preparatory metrics in resource-constrained settings, per econometric models from NBER analyses of U.S. high schools. Overall, while peer-reviewed evidence supports modest gains in motivation and practical skills—key for non-college pathways—systematic biases in self-selected CTE enrollment complicate attribution, underscoring the need for more rigorous, longitudinal controls.

Contributions to Workforce Skills and Economic Productivity

Technology education programs foster workforce skills such as digital literacy, problem-solving through engineering design processes, and proficiency in tools like computer-aided design and automation systems, which align with demands in manufacturing, information technology, and engineering sectors. These skills enable workers to adapt to technological advancements, reducing training costs for employers and accelerating integration into productive roles. Empirical data from U.S. high school career and technical education (CTE) participants, many of whom concentrate in technology-related pathways, demonstrate tangible labor market benefits. Among 2013 graduates tracked in 2016, those earning three or more CTE credits faced lower unemployment rates than peers with fewer credits and reported higher rates of employer-sponsored health insurance (approximately 10-15 percentage points greater) and retirement benefits. Postsecondary CTE programs in information technology fields have similarly yielded earnings premiums, with observational studies associating completion of such credentials with wage increases of 10-20% relative to non-completers, enhancing individual productivity and employability in skill-shortage areas. At the firm and economy-wide levels, technology-educated workers contribute to productivity gains by applying technical expertise to optimize processes, such as through data analysis and machinery maintenance, which elevates output per labor hour. California community college CTE data from 2015 onward indicate positive earnings returns for technology vocational tracks, varying by program but averaging sufficient to offset opportunity costs, thereby supporting sectoral growth in high-tech industries. These outcomes underscore how technology education narrows skill mismatches, bolstering overall economic competitiveness without relying on unsubstantiated causal claims from less rigorous sources.

Future Directions

A key emerging trend in technology education involves the deepening integration of artificial intelligence (AI) tools for personalized learning and skill development, with generative AI adoption projected to enhance adaptive tutoring systems in K-12 settings by tailoring content to individual student needs based on real-time data analysis. However, empirical studies indicate mixed outcomes, with effective implementation requiring substantial teacher training to mitigate risks such as over-reliance on AI outputs without critical evaluation, as evidenced by exploratory projects showing improved engagement but persistent challenges in assessing true comprehension gains. Public skepticism has grown, with surveys revealing declining support for unchecked AI use in schools due to concerns over privacy breaches and diminished human oversight in instruction. Complementary trends include the expansion of immersive technologies like virtual reality (VR) for simulating complex technical scenarios, such as engineering prototypes or cybersecurity defenses, which OECD analyses link to improved retention of abstract concepts through experiential learning. Cybersecurity education has also surged, driven by rising threats, with curricula increasingly incorporating hands-on modules on threat detection and ethical hacking to prepare students for workforce demands in digital infrastructure protection. Policy needs center on establishing evidence-based frameworks for AI deployment, including mandatory guidelines for responsible use that prioritize outcome measurement over mere adoption, as outlined in U.S. Department of Education directives emphasizing AI literacy integration while affirming human judgment in educational decisions. At least two states have enacted requirements for districts to develop comprehensive AI policies by 2025, focusing on prohibited activities like unauthorized data sharing and acceptable uses for administrative efficiency, to address implementation flaws observed in pilot programs. Federal initiatives advocate for promoting AI proficiency through curriculum standards that build computational thinking and ethical reasoning from elementary levels, coupled with investments in teacher professional development to evaluate tool efficacy via longitudinal student performance metrics rather than anecdotal reports. Policymakers are urged to allocate resources for robust infrastructure upgrades, including secure cloud platforms and device access, while enforcing data governance protocols to safeguard student information amid rising integration of Internet of Things devices in classrooms. These measures aim to counter risks highlighted in recent analyses, such as increased student vulnerabilities from unmonitored AI interactions, by mandating rigorous, independent audits of technological interventions' causal impacts on learning outcomes.

Recommendations for Rigorous, Evidence-Based Reform

Reforms in technology education should prioritize interventions supported by randomized controlled trials (RCTs) and meta-analyses demonstrating causal improvements in student outcomes, such as cognitive skills and problem-solving abilities, rather than widespread adoption of unproven digital tools. A meta-analysis of 126 studies found that while providing devices alone yields negligible learning gains, targeted software interventions in mathematics can produce moderate effect sizes (e.g., 0.2-0.3 standard deviations) when integrated with guided instruction. Policymakers and educators must mandate pre-implementation pilots with rigorous evaluation metrics, including pre- and post-assessments aligned to standardized benchmarks like PISA or NAEP scores in STEM domains, to filter out ineffective practices that consume resources without yielding productivity gains. Teacher professional development (PD) emerges as a high-leverage reform, with meta-analyses indicating that STEM-focused PD enhances instructor knowledge and pedagogical skills, leading to downstream student effect sizes of 0.15-0.25 in integrated STEM curricula. Programs should emphasize evidence-based models like the 5E instructional framework (Engage, Explore, Explain, Elaborate, Evaluate), which a systematic review showed improves K-12 STEM outcomes by fostering inquiry-driven learning over passive tech exposure. To counter implementation flaws, PD must include ongoing coaching and fidelity checks, as one-to-one workshops often fail to sustain changes without follow-up, per longitudinal evaluations. Curriculum reforms should integrate computational thinking—defined as decomposing problems, pattern recognition, abstraction, and algorithm design—into core subjects like mathematics and science, supported by evidence from high school interventions showing stronger cognitive impacts (effect size ~0.4) compared to elementary levels. Avoid mandating universal coding bootcamps without adaptation to student aptitude, as subgroup analyses reveal diminished returns for lower-achieving cohorts unless paired with foundational arithmetic remediation. Merit-based selection for advanced tech tracks, informed by baseline aptitude testing, can optimize resource allocation, drawing from vocational studies where ability-matched programs correlate with higher post-secondary enrollment rates (e.g., 15-20% uplift in technical fields). Assessment and accountability mechanisms must shift from input metrics (e.g., device deployment rates) to output-focused evaluations, incorporating longitudinal tracking of workforce-relevant skills like programming proficiency and engineering design. The 2023 UNESCO GEM Report, synthesizing global data, underscores small-to-medium positive effects (0.1-0.3 SD) from blended tech use but warns against over-reliance, recommending cost-benefit analyses to phase out low-impact tools. Independent audits by entities like the What Works Clearinghouse should certify programs, ensuring reforms address equity through meritocratic access—e.g., scholarships for high-potential students from underserved areas—rather than indiscriminate distribution that dilutes standards. Finally, policy should incentivize public-private partnerships for scalable, evidence-tested platforms, such as adaptive math software validated in multi-site RCTs, while funding replication studies to validate findings across demographics. A 2024 review of online learning meta-analyses confirms blended models outperform pure digital delivery (effect size 0.35 vs. 0.12), advocating for hybrid reforms that preserve human-led instruction as the causal core of skill acquisition. These measures, grounded in causal inference from high-quality trials, aim to elevate technology education from experimental to reliably productive.

References

  1. [1]
    Standards for Technological and Engineering Literacy - ITEEA
    Journal of Technology Education (JTE) · The Elementary STEM Journal · Standards · Resource Hub · OnDemand Learning Library · Safety · Career Connections.
  2. [2]
    Integrative STEM Education - International Technology and ... - ITEEA
    Integrative STEM Education is operationally defined as the application of technological/engineering design based pedagogical approaches.
  3. [3]
    A systematic literature review of empirical research on technology ...
    Aug 8, 2022 · This literature review presents an overview of technology education in ECE in recent empirical studies.
  4. [4]
    About - International Technology and Engineering Educators ...
    WHAT IS TECHNOLOGY AND ENGINEERING EDUCATION? Technology and engineering educators teach problem-based learning utilizing science, technology, engineering, and ...
  5. [5]
    [PDF] Standards for Technological and Engineering Literacy - Novi AMS
    Technology, ITEEA's (then ITEA) Standards for. Technological Literacy in ... (2017) Technology education standards in the United States: History and.
  6. [6]
    [PDF] Standards for Technological Literacy
    Through an arduous four-year process, involving many levels of review and count- less revisions, the International Technology Education. Association has ...
  7. [7]
    [PDF] of technology and engineering education - ERIC
    Sep 2, 2022 · Standards #3 (Integration of Knowledge, Technol- ogies, and Practices) and #2 (Core Concepts of Technology and. Engineering) were also selected ...
  8. [8]
    What Are ITEEA Standards and How Do I Meet Them? - iCEV
    Apr 25, 2023 · ITEEA focuses explicitly on promoting Integrative STEM Education, a multidisciplinary approach to pedagogy that uses technology and engineering ...
  9. [9]
    The Founders of Industrial Arts in the US
    Histories of American industrial arts and technology education often begin between the stone age and ancient Sparta (e.g., Barlow, 1967; Hostetter, 1974; Snyder ...
  10. [10]
    The Influence of Swedish Sloyd and its Interpreters on American Art ...
    Dec 22, 2015 · This is a descriptive study of the Swedish sloyd manual training system and its influence on the development of socially sensitive art ...
  11. [11]
    The Influence of Swedish Sloyd and Its Interpreters on American Art ...
    Sloyd Training School, Larsson modified the Swedish sloyd system so that it ... The need for change in industrial arts based on societal and industrial conditions.
  12. [12]
    Lessons From History: Industrial Arts/Technology Education As A Case
    The 1876 Philadelphia Centennial Exposition is often cited as a defining moment in the history of vocational and industrial education ( Barlow, 1967 ); it was ...Missing: origins | Show results with:origins
  13. [13]
    Walter Smith - Preliminary Manual for Instruction in Drawing-books
    Title: Preliminary Manual for Instruction in Drawing-books. Author: Walter Smith (American, 1836–1886). Publisher: Louis Prang & Co. (Boston, Massachusetts).Missing: training | Show results with:training
  14. [14]
    [PDF] HISTORY OF THE MANUAL TRAININp SCHOOL . - ERIC
    The Manual Training School of Washington University, the first manual-training high school, opened June 7, 1880, and consolidated with Smith Academy on ...
  15. [15]
    [PDF] Industrial Technology - UND Scholarly Commons
    One of the first individuals in the Manual Training/Manual Arts fields to be influenced by the work of John Dewey was Charles R. Richards, head of the. Manual ...
  16. [16]
    The Heritage of Elementary School Technology Education in the U.S.
    In the US, industrial arts emerged during the progressive-education era as a convergence of two Western European educational movements.
  17. [17]
    [PDF] Historical Problems in Industrial Arts and Technology Education.
    Dec 9, 1994 · This paper investigates portions of the history of general industrial education in the United States. Although some consideration is given to.<|separator|>
  18. [18]
    [PDF] From Industrial Arts to Technology Education: The Search for Direction
    Technology education of the 1980s grew out of this effort. To understand the curricular dimensions of technology education, it is im- portant to understand ...
  19. [19]
    [PDF] From Industrial Arts to Technology Education: The Eclipse of Purpose
    Throughout the 1960s and 1970s, the profession struggled with how to make industrial arts more relevant, particu- larly in relation to national curriculum ...Missing: timeline | Show results with:timeline
  20. [20]
    History - International Technology and Engineering Educators ...
    ITEEA is a nonprofit professional organization created in 1939 as the American Industrial Arts Association to support the study of the industrial arts in ...
  21. [21]
    [PDF] STANDARDS FOR TECHNOLOGICAL LITERACY:
    Technological literacy enables people to develop knowledge and abilities about human innovation in action. □ Technology Content Standards establishes the ...
  22. [22]
    A historical journey of US technology education leading to STEM ...
    May 22, 2024 · PDF | On May 22, 2024, Jung Han and others published A historical journey of US technology education leading to STEM pathways | Find, ...
  23. [23]
    [PDF] A Retrospective on Twenty Years of Education Technology Policy
    3. Empirical studies designed to determine which approaches to the use of technology are in fact most effective (PCAST Panel on Educational Technology, 1997).
  24. [24]
    The Evolution of Technology in K–12 Classrooms: 1659 to Today
    Jan 31, 2022 · A Brief History: In the late 1980s, British scientist Berners-Lee created the World Wide Web to enable information sharing between scientists ...
  25. [25]
  26. [26]
    Impacts of digital technologies on education and factors influencing ...
    Nov 21, 2022 · Digital technologies have brought changes to the nature and scope of education and led education systems worldwide to adopt strategies and ...
  27. [27]
    A historical journey of US technology education leading to STEM ...
    May 24, 2024 · Technology education in the US evolved through six major movements: manual training, Sloyd, arts and crafts, manual arts, industrial arts, and ...
  28. [28]
    The impact of digital technologies on students' learning - OECD
    This working paper shares findings of a literature review examining the impact of a range of digital tools on student outcomes.<|control11|><|separator|>
  29. [29]
    The efficacy of project-based learning in enhancing computational ...
    Jan 9, 2024 · Project-based learning markedly elevates students' competencies across five critical spectra: innovation, collaboration, critical analysis, algorithmic ...
  30. [30]
    Exploring the characteristics and effectiveness of project-based ...
    Mar 29, 2023 · The results showed that on average PjBL can be categorized as a learning model that can improve student learning outcomes in science learning ...
  31. [31]
    Applying the design-based learning model to foster undergraduates ...
    Jan 21, 2022 · The purpose of this research was to design a course based on the design-based learning (DBL) model to improve undergraduates' web design skills.
  32. [32]
    A pedagogical study on promoting students' deep learning through ...
    Nov 27, 2022 · This paper illustrates the design-based learning (DBL) approach to promoting the deep learning of students and improving the quality of teaching in engineering ...<|control11|><|separator|>
  33. [33]
    Active Evidence-Based Learning in Engineering Education
    Nov 9, 2022 · Implementing active learning methods in engineering education is becoming the new norm and is seen as a prerequisite to prepare future engineers.Introduction · Problem-Based Learning (PBL) · Project-Based Learning (PjBL)<|control11|><|separator|>
  34. [34]
    Perkins V | Office of Career, Technical, and Adult Education
    The Strengthening Career and Technical Education for the 21st Century Act (Perkins V) was signed into law by President Trump on July 31, 2018.
  35. [35]
    Perkins Act - Advance CTE
    Perkins V reflects the 100-year federal commitment to Career Technical Education (CTE) by providing federal support for CTE programs, and focusing on improving ...
  36. [36]
    United States of America | Technology - Education Profiles
    Jan 17, 2025 · Almost all states have the curriculum called “career and technology education” or “career technical education” (CTE) which provides ...
  37. [37]
    50-State Comparison: Secondary Career and Technical Education
    Mar 2, 2023 · At least 43 states allow students to take CTE courses through state dual and concurrent enrollment to earn high school and postsecondary credit.<|separator|>
  38. [38]
    COE - Career and Technical Education in the United States
    Career and technical education (CTE) includes high school courses and postsecondary programs focusing on skills for specific jobs. 85% of 2019 graduates took ...
  39. [39]
    [PDF] What We Know About the Impact of Career and Technical Education
    Mar 2, 2024 · In 2021–22, more than 8 million secondary students and 3.4 million postsecondary students were enrolled in CTE (Perkins Collaborative Resource ...
  40. [40]
    Career and Technical Education (CTE) Statistics
    CTE concentrators have a higher rate of associate's degrees (14%) than non-concentrators (9%), but a lower rate of bachelor's or higher degrees (48% vs 54%).  ...
  41. [41]
    Career and Technical Education at a Crossroads - OnLabor
    Apr 30, 2025 · Nationwide, over 90% of public high schools offer CTE, and more than one in five students take four or more CTE courses before graduation. Many ...
  42. [42]
    Digital Education Action Plan: policy background
    Aug 12, 2025 · The Digital Education Action Plan (2021-2027) is a policy initiative to foster quality, inclusive digital learning and help national systems ...
  43. [43]
    Commission endorses EU STEM Education Strategic Plan
    Mar 21, 2025 · The initiative aims to respond to key challenges in STEM education and to increase the attractiveness and quality of STEM education in order to ...
  44. [44]
    [PDF] Digital Education at School in Europe | CMEPIUS
    This report covers digital competence in school curricula, teacher digital competences, assessment, and digital education strategies in Europe.
  45. [45]
    Vocational education and training in Europe | Germany - Cedefop
    Programmes usually last 3 years and combine two learning venues, companies and vocational schools: the work-based learning share is approximately 75%.
  46. [46]
    Vocational training in Germany
    Here you can find useful information on the vocational training system, requirements and the industries in demand.How do I find vocational... · What is vocational training? · Privacy Settings
  47. [47]
    National curriculum in England: design and technology programmes ...
    Sep 11, 2013 · These are the statutory programmes of study and attainment targets for design and technology at key stages 1 to 3.
  48. [48]
    [PDF] National Curriculum - Design and technology key stages 3 and 4
    Design and technology is an inspiring, rigorous and practical subject. Using creativity and imagination, pupils design and make products that solve real and ...
  49. [49]
    An Analysis of the Technology Education Curriculum of Six Countries
    Introduction. The government of Finland has begun planning a new national curriculum framework for the comprehensive and upper secondary schools.Missing: Europe | Show results with:Europe
  50. [50]
    Australia | Technology - Education Profiles
    Jan 20, 2025 · The Australian Curriculum: Technologies learning area (for Foundation to year 10) comprises a Digital Technologies subject, in which students use computational ...
  51. [51]
    Canada | Technology - Education Profiles
    Jan 14, 2025 · 1. Terminology 2. Technology laws, policies, plans and regulations 2.1. Education technology legislative and policy framework 2.2. Technology infrastructuresTechnology laws, policies... · Education technology... · Technology infrastructures...
  52. [52]
    Developments in technology education in Canada - ResearchGate
    Technology Education in Canadian schools is a disparate collection of curricular approaches and influences. They range from those found in any of the well ...Abstract · References (15) · Recommended Publications
  53. [53]
    Towards high-quality informatics K-12 education in Europe
    Feb 5, 2025 · This paper explores the evolving landscape of informatics education in European primary and secondary schools, analysing academic and grey literature.
  54. [54]
    STEM education and training - European Education Area
    Jun 10, 2025 · STEM education promotes the development of foundational competencies and transversal skills such as problem-solving, critical thinking, and collaborative ...STEM Education Strategic... · Initiatives and resources · Women’s participation in...
  55. [55]
    New report by UNESCO, World Bank and ILO says Technical and ...
    Aug 11, 2023 · Technical and vocational education and training (TVET) systems in many low- and middle-income countries do not match skills and labour market needs.
  56. [56]
    World Bank, ILO, UNESCO release study on TVET reforms in ...
    Jul 19, 2023 · The study finds TVET systems unprepared for demand, with skill mismatches. It suggests client-oriented providers, focusing on foundational ...
  57. [57]
    [PDF] Building Better Formal TVET Systems - World Bank Document
    This report focuses on building better TVET systems, aiming for well-functioning systems with improved access, equity, quality, and relevance, and six policy ...
  58. [58]
    5 Key Barriers to Educational Technology Adoption in the ...
    Apr 16, 2014 · 5 Key Barriers to Educational Technology Adoption in the Developing World · 1. Electrical Power · 2. Internet Connectivity · 3. Training and ...<|separator|>
  59. [59]
    Technology in education - 2023 GEM Report
    An analysis for this report shows that 54% of countries have identified digital skills standards for learners. The Digital Competence Framework for Citizens ( ...
  60. [60]
    Classroom technologies narrow education gap in developing ...
    Aug 23, 2016 · Mobile electronic devices taken to students in distant or severely disadvantaged schools offer teachers and students access to learning tools ...
  61. [61]
    Challenges, opportunities for global ed tech development - ISTE
    In developing countries, the challenges are even greater because teacher training and professional learning programs have yet to address educational technology, ...
  62. [62]
    [PDF] Technical and vocational education and training for disadvantaged ...
    This paper discusses technical and vocational education and training for disadvantaged youth, including strategies to address their needs and barriers to  ...
  63. [63]
    [PDF] EdTech in Developing Countries: A Review of the Evidence
    Jul 27, 2023 · Factors such as teacher recruitment and deployment in “undesirable” ar- eas such as remote regions or places of extreme deprivation, lack of ...
  64. [64]
    [PDF] Harnessing Digital Technologies for Education in Developing ...
    Oct 27, 2023 · Governments especially in developing countries often succumb to commercial pressures that promote the sale of technology without a careful.
  65. [65]
    Building Better Formal TVET Systems: Principles and Practice in Low
    Jul 12, 2023 · The report brings together global knowledge on Technical Vocational and Education Training (TVET) reform to develop a common understanding on the promise of ...
  66. [66]
    The “T” In STEM: Technology Education and Your Future | Read More
    Technology is a critical part of STEM education. Experts believe jobs in the tech fields will be in great demand in the future. We discuss some in-demand ...
  67. [67]
  68. [68]
    Toward a Productive Definition of Technology in Science and STEM ...
    Technology in STEM education can be defined as educational or instructional technology that is used to enhance teaching and learning. Technology in STEM ...
  69. [69]
    Identifying the roles of technology: a systematic review of STEM ...
    Aug 31, 2023 · This review aims to explore the characteristics of technology-oriented STEM education in primary and secondary schools, focusing on its status, regional ...<|separator|>
  70. [70]
    Technology Integration in STEM Education: Tools and Techniques
    Sep 5, 2024 · Technology in STEM education enhances learning by making it interactive and engaging, fostering critical thinking and creativity, two of the ...
  71. [71]
    [PDF] The “T” and “E” in STEM - UASTEM
    STEM education has the potential to prepare the next generation of students with enhanced skills to solve complex problems, consider consequences, think ...
  72. [72]
    STEM – Science, Technology, Engineering and Mathematics
    Oct 6, 2025 · The goal of STEM and STEAM schools is to foster intellectual, entrepreneurial and technical talent through design thinking.
  73. [73]
    STEM vs. STEAM: Understanding Key Differences - K12
    STEM stands for Science, Technology, Engineering, and Math. STEM in the curriculum focuses on providing students with an in-depth knowledge of STEM-specific ...
  74. [74]
    What is STEAM Education? The Definitive Guide for K-12 Schools
    Jun 12, 2025 · STEAM Education is an approach to learning that uses Science, Technology, Engineering, the Arts and Mathematics as access points for guiding student inquiry.Why is STEAM Education... · STEM vs. STEAM · Best Practices for Connecting...
  75. [75]
    Why STEAM Education Matters: Connecting STEM with Creativity
    Jan 6, 2025 · STEAM projects allow students to see STEM concepts in action. For example, building a wind-powered device involves science (wind energy), ...
  76. [76]
    The STEM vs. STEAM Debate | National Inventors Hall of Fame®
    Sep 30, 2025 · Explore how art education can be thoughtfully incorporated into STEM programs and the growing presence of STEAM in the classroom.
  77. [77]
    JITE v37n4 - Broadening the Interdisciplinary Approach Technology ...
    The interdisciplinary approach to instruction and curriculum development in technology education has received a great deal of attention in recent years.
  78. [78]
    [PDF] Interdisciplinary Approaches to Teaching Technology Education
    The Technology, Science, Mathematics Connection Activities is a collection of six detailed activities that integrate technology education, science, and ...
  79. [79]
    STEM Education in K-12 Market Size & Share Trends, 2033
    In 2024, more than 70% of US middle schools integrated coding classes as part of their core curriculum. Robotics kits, coding platforms, and 3D printing ...Missing: rates | Show results with:rates
  80. [80]
    The Impact of Digital Technology on Education in 25 Stats
    What impact has digital technology had on education, and is adoption a positive or negative? ... 20. 57% of K-12 students use digital tools in school every day, ...<|separator|>
  81. [81]
    Rewiring the classroom: How the COVID-19 pandemic transformed ...
    Aug 26, 2024 · The pandemic changed K-12 classrooms through new technologies, instructional practices, and parent-teacher communications, along with an ...Missing: statistics 2020s
  82. [82]
    [PDF] Overview of the State of Technology in Education October 2023
    Students Access to Devices at Home has Declined from 95% in 2021 to about 72% in 2023, indicating that school programs put in place for distance learning did ...
  83. [83]
    Makerspace Design in K-12 Schools: 5 Steps - EDspaces
    Apr 7, 2025 · There are thousands of makerspaces in schools, libraries, and community centers across the US, and more makerspaces are being created every day.
  84. [84]
    Educational Robot Market Size, Share | Industry Report, 2030
    The global educational robot market size was estimated at USD 1,377.8 million in 2024 and is projected to reach USD 5,842.2 million by 2030, ...
  85. [85]
    3D Printing In Education Sector Market Size 2025-2029 - Technavio
    The 3D printing in education sector market size is forecast to increase by USD 1.37 billion at a CAGR of 14.8% between 2024 and 2029. The 3D printing market in ...
  86. [86]
  87. [87]
    Digital Simulations in STEM Education: Insights from Recent ... - MDPI
    This study explores the use of digital simulations in STEM education, addressing the gap in systematic reviews synthesizing recent advancements.
  88. [88]
    Educational Robots Statistics and Facts (2025) - Market.us Scoop
    Notably, the Faculty of Teacher Education reported the highest adoption rate, with 46.93% of respondents incorporating educational robots into their teaching ...
  89. [89]
    The Effect of Artificial Intelligence (AI) on Students' Learning
    Aug 8, 2025 · The findings show that AI usage for study purposes significantly influences student's engagement and academic performance. On the other hand, ...<|separator|>
  90. [90]
    (PDF) Artificial Intelligence in Vocational Education and Training
    Dec 20, 2024 · This chapter explores the transformative impact of Artificial Intelligence (AI) in Vocational Education and Training (VET), highlighting its potential to ...
  91. [91]
    Artificial intelligence in education: A systematic literature review
    Oct 15, 2024 · Systematic review of 63 empirical AI-STEM studies ... Research on the influence of AI and VR technology for students' concentration and creativity.
  92. [92]
    Emerging Technologies in Education: Statistics on AI and VR ...
    Dec 26, 2024 · The AR and VR in education market will grow from $11.9 billion in 2023 to about $75 billion by 2033. This growth shows how ai-powered ...
  93. [93]
    The Impact of Augmented Reality (AR) and Virtual Reality (VR ...
    Jun 7, 2025 · AR and VR significantly improve learning outcomes based on active learning approaches. It improves learners' retention, critical thinking, and problem-solving ...
  94. [94]
    Future Prospects and Considerations for AR and VR in Higher ...
    Apr 20, 2023 · AR and VR initially hold great promise but also raise crucial policy choices and program challenges ahead of any widespread adoption in higher education ...
  95. [95]
    [PDF] Integrating Computational Thinking into K–12 Classroom Instruction
    May 16, 2025 · There have also been suggestions and significant efforts to include CT/CS in technology and engineering education curriculum and competencies ...Missing: 2020s | Show results with:2020s
  96. [96]
    Bringing computational thinking into classrooms: a systematic ...
    Oct 7, 2024 · In this systematic review, we have reviewed empirical evidence on teachers' computational-thinking-focused professional development (PD).Introduction · Results · Discussion
  97. [97]
    teacher educator perspectives on the integration of computational ...
    Feb 6, 2024 · In this paper, we report on 17 TEds' experience regarding the challenges and opportunities of integrating CT into Norway's primary teacher education ...Missing: 2020s | Show results with:2020s
  98. [98]
    Research on the Influence of AI and VR Technology for Students ...
    The results show that introducing VR and AI technology into art education and encouraging students to carry out deep learning can significantly improve student ...
  99. [99]
    Leveraging VR, AR & AI for CTE student success - ACTE Online
    Jan 10, 2022 · VR, AR and AI can support CTE students as they develop technical and employability skills. Students benefit from opportunities to visit workplaces and other ...
  100. [100]
    Artificial Intelligence in Technical and Vocational Education and ...
    Apr 25, 2025 · Integrating artificial intelligence (AI) into TVET programs has become a key focus to bridge this skills gap, creating valuable opportunities to ...
  101. [101]
    COE - Children's Internet Access at Home
    In 2021, the percentage of 3- to 18-year-olds who had home internet access through a computer was highest for those whose parents had attained a bachelor's ...
  102. [102]
    What was a gap is now a chasm: Remote schooling, the digital ...
    Jun 12, 2023 · This article reviews literature on the impacts of the pandemic on the educational outcomes of marginalized youth due to remote learning and the digital divide.
  103. [103]
    Digital Divide - Research and data from Pew Research Center
    Most US adults today say they use the internet (95%), have a smartphone (90%) or subscribe to high-speed internet at home (80%). About four-in-ten report being ...
  104. [104]
    Computer Ownership and the Digital Divide
    Oct 15, 2025 · 10.3% are smartphone-dependent; Access drops significantly after age 75, and even further after age 81; However, this represents dramatic ...
  105. [105]
    Explaining Achievement Gaps: The Role of Socioeconomic Factors
    Aug 21, 2024 · Results show that a broad set of family SES factors explains a substantial portion of racial achievement gaps.
  106. [106]
    Methodology Studies - Achievement Gaps | NAEP
    Apr 3, 2024 · Achievement gaps occur when one group of students (e.g., students grouped by race/ethnicity, gender) outperforms another group and the ...
  107. [107]
    [PDF] Gender Achievement Gaps in U.S. School Districts
    Together, these findings suggest that higher SES exacerbates gender achievement gaps, leading to more male-favoring gaps in math and, to some extent, to more ...
  108. [108]
    Education and Socioeconomic Status Factsheet
    Research continues to link lower SES to lower academic achievement and slower rates of academic progress as compared with higher SES communities.
  109. [109]
    Why Diversity Programs Fail - Harvard Business Review
    The positive effects of diversity training rarely last beyond a day or two, and a number of studies suggest that it can activate bias or spark a backlash.Why You Can't Just Outlaw... · Tools For Getting Managers... · Social Accountability
  110. [110]
    The Problem with DEI - Eric Sandosham, Ph.D. - Medium
    May 11, 2024 · Most DEI (Diversity, Equity & Inclusion) programmes are failures. Recent research also shows that DEI training simply does not work.Background · Get Eric Sandosham, Ph. D.'s... · Data Savvy
  111. [111]
    What DEI research concludes about diversity training: it is divisive ...
    Feb 12, 2024 · Despite criticism of their methods, proponents of DEI instruction continue to assert that it is effective. “Effective,” for them, means more ...Introduction · Diversity Training In... · Dei Does Have An Impact...
  112. [112]
    How States and Districts Can Close the Digital Divide To Increase ...
    Jul 30, 2024 · A study from the National Skills Coalition found that “fully 25 percent of workers with no foundational digital skills and 29 percent of those ...
  113. [113]
    Inclusion in practice: a systematic review of diversity-focused STEM ...
    Jan 6, 2023 · This systematic review investigates the literature on diversity-focused “STEM intervention programs” (SIPs) at the postsecondary level.
  114. [114]
    [PDF] Meritocracy in Science – A Necessary Myth - PhilSci-Archive
    Abstract: The methodology of meritocracy in STEM has been severely criticized as of lately in terms of the diversity, equity, and inclusion debate.<|separator|>
  115. [115]
    A meta-analysis of the impact of technology related factors on ...
    Feb 21, 2025 · It is concluded that increased use of these technologies was associated with poorer academic outcomes, potentially impacting key cognitive ...
  116. [116]
    Is technology good or bad for learning? - Brookings Institution
    May 8, 2019 · This piece covers what the research actually says, some outstanding questions, and how to approach the use of technology in learning environments.
  117. [117]
  118. [118]
  119. [119]
  120. [120]
    [PDF] Challenges and solutions when using technologies in the classroom
    First, we address issues surrounding insufficient equipment or connectivity, termed the access constraint. If a teacher's school does not possess adequate ...
  121. [121]
    Edtech has an evidence problem | code acts in education
    Apr 19, 2024 · According to the Edtech Evidence Exchange, educators estimate that “85% of edtech tools are poor fits or poorly implemented”, indicating very weak returns.
  122. [122]
    UNESCO issues urgent call for appropriate use of technology in ...
    Jul 26, 2023 · The report cites evidence showing that learning benefits disappear if technology is used in excess or in the absence of a qualified teacher. For ...Missing: flaws | Show results with:flaws
  123. [123]
    Evaluating the evidence for educational technology - Part 1
    Many such studies have shown various edtech can improve student outcomes relative to 'standard' teaching and learning practices (Higgins et al., 2012; Underwood ...<|separator|>
  124. [124]
    Increased AI use linked to eroding critical thinking skills - Phys.org
    Jan 13, 2025 · Younger participants (17–25) showed higher dependence on AI tools and lower critical thinking scores compared to older age groups. Advanced ...
  125. [125]
  126. [126]
    The effects of over-reliance on AI dialogue systems on students ...
    Jun 18, 2024 · Dempere et al. (2023) highlighted the risks associated with embedding AI dialogue systems in higher education, such as privacy violations and ...
  127. [127]
    (PDF) The Erosion of Cognitive Skills in the Technological Age
    Jun 15, 2024 · The authors propose that reliance on technological shortcuts has led to less practice exerting effort on challenging cognitive tasks, reflected ...
  128. [128]
    [PDF] Effects of Technology on Student Learning - ERIC
    Jan 9, 2021 · ABSTRACT. The purpose of this study was to analyze the effects of technology on student learning. With the ever-changing world of technology ...
  129. [129]
    Reporting the potential risk of using AI in higher Education
    This study explores the potential risks associated with the use of AI in higher education. •. The findings reveal significant concerns about privacy risks, ...
  130. [130]
    a systematic review on identifying and mitigating ethical risks - Nature
    Jul 16, 2025 · In the technology dimension, risks include privacy invasion, data leakage, algorithmic bias, the black box algorithm, and algorithmic error. The ...
  131. [131]
    A meta-analysis of the impact of technology related factors on ...
    Frequent notifications, multitasking, and prolonged screen time can deplete cognitive resources, leading to decreased attention and comprehension, ultimately ...<|separator|>
  132. [132]
    (PDF) Analyzing the Impact of Learning Technology on the Quality of ...
    Aug 4, 2025 · One of the main risks is that students' dependence on technological devices can reduce their ability to think critically and solve problems ...<|separator|>
  133. [133]
    An experimental study on the extent and costs of overreliance on AI
    People overrely on AI advice for financially risky decisions in a domain-independent, interactive, behavioral experiment.Trust And Reliance On Ai... · 4. Method · 6. Discussion, Limitations...
  134. [134]
    The Impact of Career & Technical Education Concentration on the ...
    Jun 30, 2025 · The results indicate that enrolling in two or more CTE courses throughout high school may enhance student success. This study contributes to the ...
  135. [135]
    [PDF] The Impact of Vocational Education on Students' Academic Outcomes
    Some scholars have found that vocational education can increase student test scores and student engagement (Brunner et al., 2019; Carbonaro, 2005), reduce ...
  136. [136]
    [PDF] Vocational and Career Tech Education in American High Schools
    We assume academic ability (αa) influences performance in academic subjects in high school and in college, and the likelihood of college graduation, while ...
  137. [137]
    [PDF] What We Know About the Impact of Career and Technical Education
    Apr 2, 2024 · The meta-analytic results indicated that, in general, the impact of CTE on student outcomes was statistically significant and positive for six ...
  138. [138]
    Productivity, the Workforce, and Technology Education
    Technology education has a unique role to play in improving the productivity of the future workforce (Technology Education Advisory Council, 1988). In addition ...
  139. [139]
    The Economics of a Technology Education
    Investing in technology education can provide significant long-term benefits, including increased earning potential, job opportunities, and career advancements.Understanding the Demand for... · The Role of Technology...
  140. [140]
    Labor Market Outcomes for High School Career and Technical ...
    Graduates who earned 3.00 or more CTE credits had a lower unemployment rate than their peers who earned fewer CTE credits. Regardless of CTE participation level ...Missing: studies | Show results with:studies
  141. [141]
    Career and Technical Education: A Summary of the Evidence | MDRC
    Nov 8, 2024 · Many observational studies have shown an association between taking CTE and higher graduation rates and between taking CTE and higher wages.
  142. [142]
    How Education and Training Affect the Economy - Investopedia
    An economy's productivity rises as the number of educated workers increases since skilled workers can perform tasks more efficiently. An economy is more ...
  143. [143]
    Career Technical Education and Labor Market Outcomes: Evidence ...
    Apr 30, 2015 · We estimate returns to CTE programs using administrative data from the California Community College system linked to earnings records.
  144. [144]
    Trends Shaping Education 2025 - OECD
    Jan 23, 2025 · Frontier technologies including artificial intelligence, the Internet of Things, and virtual reality are already changing how we work, learn and ...
  145. [145]
    Generative AI use in K-12 education: a systematic review - Frontiers
    Sep 22, 2025 · These papers highlight the importance of developing instructional approaches to build substantial understanding and experience with subject- ...
  146. [146]
    Transforming K-12 Education with AI: A New Report with Insights ...
    Oct 23, 2024 · The new report offers a look into the possibilities and challenges of implementing AI for teaching, learning, and social connection in K-12 education.<|control11|><|separator|>
  147. [147]
    Americans Grow More Skeptical of AI in K-12 Schools, Poll Finds
    Aug 22, 2025 · Support for some AI use in schools has declined, according to the latest PDK poll on American attitudes toward public education.
  148. [148]
    Top 5 Technology Trends Shaping Higher Education in 2025
    Sep 17, 2025 · Strengthened Cybersecurity Posture · Cloud-Based Learning Platforms Powered · Sustainability Through Green IT · Growing Demand for Non-Degree ...
  149. [149]
    U.S. Department of Education Issues Guidance on Artificial ...
    Jul 22, 2025 · This guidance outlines how AI may be used across key educational functions, articulates principles for the responsible use of AI, and affirms that such uses ...
  150. [150]
    Which States Require Schools to Have AI Policies? - Education Week
    Sep 23, 2025 · At least 2 states require school districts to have a comprehensive policy about the use of artificial intelligence in schools, according to an ...
  151. [151]
    Advancing Artificial Intelligence Education for American Youth
    Apr 23, 2025 · It is the policy of the United States to promote AI literacy and proficiency among Americans by promoting the appropriate integration of AI into education.
  152. [152]
    [PDF] Data Governance for EdTech: Policy Recommendations - Unicef
    These policy recommendations aim to address this gap by proposing multi-stakeholder governance solutions to uphold children's rights in digital learning ...
  153. [153]
    Connecting the National Educational Technology Plan to State Policy
    The 2024 National Educational Technology Plan (NETP) represents a significant effort to help states and schools leverage technology to modernize K-12 education ...
  154. [154]
    Schools' Embrace of AI Connected to Increased Risks to Students
    Oct 8, 2025 · This report details the current status of AI use in schools along with four emerging risks associated with this technology, all of which ...
  155. [155]
    What 126 studies say about education technology - MIT News
    Feb 26, 2019 · The limited rigorous evidence suggests that distributing computers may have a more direct impact on learning outcomes at the postsecondary level ...
  156. [156]
    Three lessons from rigorous research on education technology
    Sep 25, 2017 · 1. Computers and internet access alone don't boost learning · 2. Some math software shows promise · 3. Cheap can be effective.
  157. [157]
    [PDF] meta-analysis of classroom interventions in stem - Scholars at Harvard
    Second, this review examines the effects of preK-12 STEM professional learning and curriculum improvement initiatives on two outcomes, teacher knowledge and ...
  158. [158]
  159. [159]
    A Meta-Analysis of the Experimental Evidence Linking STEM ...
    Jan 11, 2022 · Findings highlight the positive effects of STEM instructional interventions on teachers, and shed light on potential teacher-level mechanisms ...<|control11|><|separator|>
  160. [160]
    Systematic review and meta-analysis of the impact of STEM ...
    Aug 12, 2025 · For example, STEM education has a greater impact on cognitive outcomes (0.52), which is consistent with constructivism and may be related to ...
  161. [161]
    The Effects of Integrated STEM Education on K12 Students ...
    Feb 27, 2025 · This meta-analysis synthesizes research findings on the effects of integrated STEM education implemented in K12 settings.
  162. [162]
    [PDF] A Meta-Analysis and Review of Online Learning Studies
    This report is a meta-analysis and review of online learning studies, evaluating evidence-based practices in online learning.