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Digital transformation has significantly reshaped science education. This study examines the integration of Artificial Intelligence (AI) in science learning by mapping AI literacy, pedagogical practices, and learning approaches. Using a mixed-methods design, data were collected from Pre-service K-12 science teachers and students in Jember Regency, Indonesia, through surveys, interviews, and focus group discussions. Results show that Pre-service teachers demonstrate moderate AI literacy, strong ethical awareness, but limited technological and pedagogical application skills. AI-based simulations significantly enhance students’ problem-solving and critical thinking compared to conventional methods. The study recommends a modular blended learning framework to strengthen teachers’ practical and ethical competencies, promoting adaptive and data-driven science learning.

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AI Integration in Science Learning: Mapping K-12 Pre-Service Teachers’ Competencies, Pedagogical Practices, and Simulation-Based Learning Approaches

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  • 发表日期：

    2026年

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  • Iwan Wicaksono

摘要

Digital transformation has significantly reshaped science education. This study examines the integration of Artificial Intelligence (AI) in science learning by mapping AI literacy, pedagogical practices, and learning approaches. Using a mixed-methods design, data were collected from Pre-service K-12 science teachers and students in Jember Regency, Indonesia, through surveys, interviews, and focus group discussions. Results show that Pre-service teachers demonstrate moderate AI literacy, strong ethical awareness, but limited technological and pedagogical application skills. AI-based simulations significantly enhance students’ problem-solving and critical thinking compared to conventional methods. The study recommends a modular blended learning framework to strengthen teachers’ practical and ethical competencies, promoting adaptive and data-driven science learning.