Generative artificial intelligence in vocational education and training: A framework for sus-tainable teacher competence development

This study examines the development of a four-hour advanced teacher training program designed to equip vocational education and training (VET) educators with the technological, ethical, and operational competencies required to integrate Generative artificial intelligence (AI) into lesson planning and resource creation. Grounded in a design-based research framework, the training balanced theoretical modules on AI functionalities, data protection, multimedia applications, and the future development of AI with hands-on exercises in prompt engineering, aided by a scaffolded prompt library. The prompt library was iteratively refined based on feedback from three VET teachers before implementation. Key findings from the training, attended by 52 participants, indicate that teachers experienced marked improvements in designing effective prompts and critically assessing AI capabilities, as reflected in their self-assessments and overall positive feedback. Qualitative insights highlighted the prompt library's practical utility while also revealing a need for more extensive hands-on practice and structured guidance during collaborative work sessions.

Authors

Institutions

Publication Details

Journal
Vocation Technology & Education
Published
2025-06-30
DOI
https://doi.org/10.54844/vte.2025.0940
Citations
1
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
2.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generative artificial intelligence in vocational education and training: A framework for sus-tainable teacher competence development

C. Schmitt, Alexandra Brutzer
1 citations
Vocation Technology & Education
AI and HR Technologies
2.76
article

Generative artificial intelligence in vocational education and training: A framework for sus-tainable teacher competence development

C. Schmitt, Alexandra Brutzer
article en
1 citations

Abstract

This study examines the development of a four-hour advanced teacher training program designed to equip vocational education and training (VET) educators with the technological, ethical, and operational competencies required to integrate Generative artificial intelligence (AI) into lesson planning and resource creation. Grounded in a design-based research framework, the training balanced theoretical modules on AI functionalities, data protection, multimedia applications, and the future development of AI with hands-on exercises in prompt engineering, aided by a scaffolded prompt library. The prompt library was iteratively refined based on feedback from three VET teachers before implementation. Key findings from the training, attended by 52 participants, indicate that teachers experienced marked improvements in designing effective prompts and critically assessing AI capabilities, as reflected in their self-assessments and overall positive feedback. Qualitative insights highlighted the prompt library's practical utility while also revealing a need for more extensive hands-on practice and structured guidance during collaborative work sessions.

Vocation Technology & Education
University of Bonn (DE)
Openalex Percentile: Top 9%
AI and HR Technologies
2.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Generative artificial intelligence in vocational education and training: A framework for sus-tainable teacher competence development — C. Schmitt, Alexandra Brutzer · Vocation Technology & Education (2025) | TGRS Research Map | TGRS