Development of Artificial Intelligence Literacy Model for Secondary School Teachers in Shenzhen

Wu  Zhaobin; Nainapas  Injoungjirakit; Sombat  Teekasap; Prapai  Sridama; Naphaphorn  Jiaphong

ผู้แต่ง

Wu Zhaobin Digital Technology Management for Education Program, Bansomdejchaopraya Rajabhat University, Thailand.
Nainapas Injoungjirakit Digital Technology Management for Education Program, Bansomdejchaopraya Rajabhat University, Thailand.
Sombat Teekasap Digital Technology Management for Education Program, Bansomdejchaopraya Rajabhat University, Thailand.
Prapai Sridama Digital Technology Management for Education Program, Bansomdejchaopraya Rajabhat University, Thailand.
Naphaphorn Jiaphong Information Technology and Data Science Program, Bansomdejchaopraya Rajabhat University, Thailand.

คำสำคัญ:

Artificial intelligence literacy, Secondary school teachers, Information technology teaching methods

บทคัดย่อ

The purposes of this research were: 1) To study the current level of knowledge of secondary school teachers’ artificial intelligence literacy 2) To develop a teachers’ artificial intelligence literacy improvement model for secondary schools 3) To evaluate the teacher’s artificial intelligence literacy improvement model.

The study invited 21 experts to conduct three rounds of consulting using the Delphi method to identify core competencies and refine the model components. This was done to determine the variable issues of effective teacher artificial intelligence literacy, resulting in the developing of a model for improving secondary school teachers' primary index factors includes: Cognition, Ethics, Artificial Intelligence Applications, Artificial Intelligence Pedagogy, Development, and Evaluation. For the accuracy of the data, the interviewees were experts with professorial titles from artificial intelligence professionals, the online education field, and normal universities. The expert qualifies to have the rank of professor or above and has at least 20 years of experience working in a related field.

The results show that the Teacher Artificial Intelligence Literacy Model consists of 6 primary index factors and 36 secondary index factors. The specific content of the 6: Cognition, Ethics, Artificial Intelligence Applications, Artificial Intelligence Pedagogy, Development, and Evaluation.

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