Artificial intelligence competencies of vocational teachers using for the design of learning activities
<span lang="EN-US">Currently, information technology used in teaching and learning management is constantly evolving. Therefore, the development of vocational teachers’ artificial intelligence competencies (AIC) of vocational teachers using artificial intelligence (AI) for the design of learning activities using questions is to develop the ability to use information technology in teaching and learning management with an emphasis on the use of AI for education. Teachers in the college received practical training on the application of AI in teaching and learning management. In using AI, which creates knowledge and understanding for teachers, it can be applied in the design of learning activities. From allowing teachers to practice, this has a positive effect on the increase in AI skills of teachers from before attending the training. Overall, vocational teachers have a great level of AIC; the average score is 21.72 points and from the assessment of overall satisfaction at the highest level. The training content is suitable for the current situation. The knowledge gained can be used to benefit in organizing teaching activities. The speakers have interesting teaching techniques.</span>
Authors
- Panita Wannapiroon (ORCID: https://orcid.org/0000-0001-8633-5781)
- Jira Jitsupa (ORCID: https://orcid.org/0000-0001-6432-6614)
- Kanitta Hinon (ORCID: https://orcid.org/0000-0003-0837-0287)
- Naphong Wannapiroon (ORCID: https://orcid.org/0000-0003-1434-9484)
- Raweewarn Rattanakha (ORCID: https://orcid.org/0009-0002-6028-3789)
- Nipone Sookpreedee
Institutions
- Rajamangala University of Technology Isan (TH)
- Republic Polytechnic (SG)
- Suan Dusit University (TH)
- Rajamangala University of Technology Suvarnabhumi (TH)
- Sukhothai Thammathirat Open University (TH)
- King Mongkut's University of Technology North Bangkok (TH)
Publication Details
- Journal
- International Journal of Evaluation and Research in Education (IJERE)
- Published
- 2025-07-19
- DOI
- https://doi.org/10.11591/ijere.v14i4.32334
- Primary Topic
- Technology-Enhanced Education Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- King Mongkut's University of Technology North Bangkok