AI-assisted training program to mapping teacher competencies in the integrated science learning K. D. H. Gunawan, S Liliasari, Ida Kaniawati, and W. Setiawan
Universitas Pendidikan Indonesia
Abstract
Artificial intelligence (AI) in education is the current development that provides solutions to problems in various contexts and levels. The use of AI in science teacher training programs is something that rarely done, especially in integrated science learning. The purpose of this study was to mapping the competencies of science teachers after receive pedagogical suggestions based on AI. This activity was attended by 20 science teachers in West Java who are members of the teacher training program. The competency patterns of science teachers were analyzed descriptively qualitatively in order to see the combination of knowledge between AI and natural knowledge of science teachers. The results show that some teachers are able to make innovative integrated science learning and teachers are able to filter pedagogical suggestions from AI to be used or ignored. These results also provide a field evaluation of the development of an integrated science learning program assisted by AI.
