Open research questions in Vocational Education and Training
74 unresolved questions extracted from the limitations and future-work sections of 187 Vocational Education and Training papers in our library. Each links back to the study that raised it.
What the literature leaves open
Future research should focus on the development of practice-oriented professional development programs for VET teachers. Studies should explore the impact of AI on vocational education and training in other countries. Research should investigate the ethical and regulatory frameworks required to support the integration of AI in VET.
The Examination of Contemporary Conditions for the Effective Integration of AI in Educational Process as Perceived by VET Teachers in Slovakia · 2026 · DOIThe integration of AI in VET is a complex issue that requires further research. There is a need for studies that explore the personal and institutional conditions influencing the integration of AI in VET. The research gap includes the lack of empirically grounded insights from the Slovak context.
The Examination of Contemporary Conditions for the Effective Integration of AI in Educational Process as Perceived by VET Teachers in Slovakia · 2026 · DOIThe gap is that teachers must decide what counts as appropriate use, what should remain off-limits, and how to protect learning goals while acknowledging that GenAI is already part of students' everyday digital environment. The study highlights the lack of guidance and professional development for teachers in using GenAI. The research gap is that prior work has not fully considered the institutional environments in which teachers operate.
An Exploratory Cross-National Study of K–12 Teachers’ Generative AI Literacy and Classroom Enactment · 2026 · DOIThere is a critical gap in cross-cultural educational research on AI literacy. Country and gender differences in AI literacy development are not well understood.
Cross‐Cultural Patterns in Artificial Intelligence Literacy Development: Investigating Country and Gender Differences Among Pre‐Service Teachers in Germany and Türkiye · 2026 · DOIEthical concerns, such as academic integrity and professional legitimacy, are major challenges. Infrastructural limitations, such as the lack of clear guidelines and training, are also significant challenges.
The study only examined the perceptions of Algerian pre-service English teachers. The sample size was limited to 44 trainees. The study did not investigate the actual implementation of AI-assisted lesson planning in classrooms.
The study is limited to a single region in the Czech Republic. The study is based on a sample of 360 teachers, which may not be representative of the entire population of primary school teachers. The study only considers the relationship between length of practice and category, and does not take into account other factors that may influence the adoption of Generative AI.
Inovativnost a postoje učitelů na 1. stupni ZŠ k využívání generativní umělé inteligence · 2026 · DOIFuture research should investigate the factors that influence the adoption of Generative AI by primary school teachers. Future research should explore the effectiveness of AI-focused training for teachers. Future research should examine the impact of Generative AI on student learning outcomes.
Inovativnost a postoje učitelů na 1. stupni ZŠ k využívání generativní umělé inteligence · 2026 · DOIThe study identifies a gap in the distribution of access to professional learning for teacher AI literacy. The gap is that access is not distributed as a simple response to declared need.
Can Teacher AI Literacy Reach Those Who Need It Most? Professional Learning, Realised Access, and Cumulative Advantage in TALIS 2024 · 2026 · DOIThere is a need to investigate teachers' perceptions of AI integration in education using an integrated theoretical approach.
AI transformation in education: Examining teachers’ perceptions using an integrated TAM-TPACK-GenAI framework · 2026 · DOIThe usage patterns and teachers' and learners' perceptions of GenAI adoption are yet to be studied. The study aims to fill this gap by examining both teachers' and students' practices and perceptions regarding various aspects of AI and its adoption in education.
Generative Artificial Intelligence in Tertiary Level Education in Bangladesh: Practices, Benefits, Challenges, and Prospects · 2026 · DOIfor Researchers This study contributes empirical evidence on the adoption of GenAI in a South Asian tertiary education context, enriching the body of knowledge on technology acceptance, digital pedagogy, and GenAI in education policy. By revealing the pictures of relevant variables of Generative Artificial Intelli- gence in Education (GenAIEd) in a unique context, such as Bangladesh, the findings have implications for similar situations. They can inform others about possible challenges and the usefulness of GenAIEd. Teachers and students are both moderately familiar with GenAI. The teach- ers primarily use it to prepare courses and materials, while students sporadi- cally engage with GenAI, mainly for academic problem-solving, and they em- phasize its role in personalized, learner-centered learning. GenAI familiarity is found to be a strong predictor of usage frequency. However, teachers ex- press concerns about the reliability of GenAI, ethical implications, and the potential for deskilling. While the benefits and usefulness dominate, possible challenges and threats are marginally associated with the future adoption and use of GenAI. This finding is unique because, despite the overpowering ‘ease of use’ of the TAM model, ‘benefits or usefulness’ of the TTF model, chal- lenges, and threats have been found as catalysts for GenAI adoption. Practitioners are to utilize GenAI to support, rather than replace, their teach- ing expertise. They should also encourage students to strike a balance be- tween GenAI-assisted learning, critical thinking, and independent work. Fur- thermore, the institutions should introduce guidelines to ensure the ethical use of GenAI and academic integrity. Researchers should explore the longitudinal effects of GenAI adoption on learning outcomes and skill development. They can also conduct compara- tive studies across different universities and disciplines. Investigating the role of GenAI in inclusive education and support for learners from disadvantaged backgrounds also demands research focus. Impact on Society The findings highlight how GenAI can transform higher education in Bang- ladesh and similar contexts. It shows the importance of addressing the risks of overreliance and the unethical use of GenAI for effective learning. A bal- anced adoption could strengthen human–technology collaboration in educa- tion. On the other hand, it has revealed the aspects of GenAI, preferred by educators, that AI developers should consider.
Generative Artificial Intelligence in Tertiary Level Education in Bangladesh: Practices, Benefits, Challenges, and Prospects · 2026 · DOIThe lack of a validated instrument to measure AI appropriation in higher education. The need for innovative indicators to guide comparative research and institutional policies.
Maintaining assessment integrity in AI-based educational settings. Addressing the unique needs of Additional Learning Needs contexts. Ensuring equitable resource allocation to bridge existing disparities in AI adoption.
The study had a small sample size of 25 respondents. The survey distribution was limited to direct emails, social media, and regional consortia.
Student anxiety in mathematics education. Difficulties in fostering spatial reasoning in mathematics education. The need for comprehensive synthesis of the intellectual structure and evolution of research on Technology Acceptance Model in immersive mathematics education.
Research Hotspots and Thematic Evolution in Technology Acceptance for Immersive Mathematics: A Bibliometric Visualization · 2026 · DOIDeveloping MR-specific TAM extensions. Creating integrated technological-pedagogical frameworks. Establishing diversified global research networks.
Research Hotspots and Thematic Evolution in Technology Acceptance for Immersive Mathematics: A Bibliometric Visualization · 2026 · DOIThe integration of automation technologies into vocational education and training. The need for continuous evaluation of the impact of automation on vocational education and training. The challenge of updating technical courses to align with the changing job market demands.
Estimating the Impact of Industry 4.0 Automation on Curricular Competence Indicators in Brazilian Vocational Education and Training: A Mixed-Methods AI-Supported Analysis · 2026 · DOIThe lack of studies that analyze the impact of automation on education. The need for a methodology to evaluate the impact of automation on technical courses. The gap in understanding the effects of automation on vocational education and training curricula.
Estimating the Impact of Industry 4.0 Automation on Curricular Competence Indicators in Brazilian Vocational Education and Training: A Mixed-Methods AI-Supported Analysis · 2026 · DOIThe study faced challenges in terms of the limited sample size and the lack of comprehensive data on AI integration in all vocational education and training programmes. The ethical dilemmas associated with AI use in education, such as unequal access to AI tools, posed a challenge.
Vocational Teachers as AI Pioneers: A Study of Professional AI Competence in the Norwegian Vocational Field of Information Technology and Media Production · 2026 · DOIThe study is limited to two upper secondary schools in Norway. The sample size is small, with only four teachers interviewed. The study does not provide a comprehensive overview of AI integration in all vocational education and training programmes.
Vocational Teachers as AI Pioneers: A Study of Professional AI Competence in the Norwegian Vocational Field of Information Technology and Media Production · 2026 · DOISmall sample size of 59 participants. Limited to Vietnamese higher education context. No control group or comparison with traditional teaching methods.
An Empirical Study of UTAUT Model on the Adoption of AI Technologies in Vietnamese Higher Education · 2026 · DOIFurther investigation into the relationship between user satisfaction and continuance intention. Exploration of the potential barriers to AI adoption in education. Investigation of the effectiveness of AI tools in different educational contexts.
An Empirical Study of UTAUT Model on the Adoption of AI Technologies in Vietnamese Higher Education · 2026 · DOIThere is an urgent need for TESOL professionals to guide students in their AI use as a strategy to maximize learning outcomes. The study identifies a gap in the existing literature on the impact of collaborative reflective practice on teacher educators' professional learning when integrating AI into EFL teaching.
AI-Powered Teaching: Reflective Professional Development for GenAI Integration in Mexican EFL/ESL Contexts · 2026 · DOIThe study faces the challenge of measuring the complex relationship between national AI development and adult lifelong-learning participation. The availability of some indicators is limited, such as Responsible AI per capita and Public Opinion per capita. The study must consider the potential biases and limitations of the data.
National AI development and adult lifelong-learning participation: Evidence for knowledge-transfer policy in European countries · 2026 · DOI
Most-cited papers in Vocational Education and Training
- Diffusion of Engineering Education Innovations: A Survey of Awareness and Adoption Rates in U.S. Engineering Departments · Journal of Engineering Education · 2010 · 260 citations
- The rise of technology and impact on skills · International Journal of Training Research · 2019 · 137 citations
- An Assessment Instrument of Technological Literacies in Makerspaces and FabLabs · Journal of Engineering Education · 2017 · 94 citations
- The factors affecting teachers’ adoption of AI technologies: A unified model of external and internal determinants · Education and Information Technologies · 2025 · 79 citations
- The impact of field experiences on prospective preservice teachers’ technology integration beliefs and intentions · Teaching and Teacher Education · 2020 · 76 citations
- School leaders' adoption and implementation of artificial intelligence · Journal of Educational Administration · 2021 · 62 citations
- Determinants affecting teachers’ adoption of AI-based applications in EFL context: An analysis of analytic hierarchy process · Education and Information Technologies · 2022 · 57 citations
- Educational robotics and STEM in primary education: a review and a meta-analysis · Journal of Research on Technology in Education · 2023 · 52 citations
- Do Innovative Teachers use AI-powered Tools More Interactively? A Study in the Context of Diffusion of Innovation Theory · Technology Knowledge and Learning · 2023 · 48 citations
- Technology Acceptance Model: Assessing Preservice Teachers’ Acceptance of Floor-Robots as a Useful Pedagogical Tool · Technology Knowledge and Learning · 2020 · 45 citations
Most recent work
- Unpacking the Factors Shaping TESOL Teachers' GenAI Literacy From an Ecological Perspective · TESOL Quarterly · 2026
- Technology Acceptance Model in Artificial Intelligence in Education: A Meta-Analysis · SAGE Open · 2026
- Artificial Intelligence in Physiotherapy Education: A Multi‐Country Middle East Survey of AI Acceptance and Barriers Among University Students · European Journal of Education · 2026
- Die Curriculum-Demand-Gap-Analyse als Instrument der Berufsfeldforschung im österreichischen Fachhochschulsektor · Zenodo (CERN European Organization for Nuclear Research) · 2026
- Cross‐Cultural Patterns in Artificial Intelligence Literacy Development: Investigating Country and Gender Differences Among Pre‐Service Teachers in Germany and Türkiye · European Journal of Education · 2026
- AI transformation in education: Examining teachers’ perceptions using an integrated TAM-TPACK-GenAI framework · Contemporary Educational Technology · 2026
- Introducing AI education in school contexts: a 3D-literacy analysis of the Swedish AI subject · Technology Pedagogy and Education · 2026
- The Nexus of Research, Policy, and Practice: Narrative Literature Review of AI Adoption in Future-Proof STEM Curriculum in Higher Education · Canadian Journal of Science Mathematics and Technology Education · 2026
- Preservice teachers’ perceptions of AI as a creative partner in lesson planning · International Journal of Education through Art · 2026
- Exploring upper elementary teachers’ perceptions and practices of AI integration through a TPACK lens: a professional development case study · Professional Development in Education · 2026
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