This study examines how AI-driven plant identification applications can enhance students’ environmental literacy, self-directed learning motivation, and awareness of carbon reduction initiatives. Using a qualitative research approach, this study also examines the role of AI tools in fostering learning motivation and ecological actions. The findings suggest that mobile applications enhance students’ interest in and knowledge of plants. Future curriculum designs should consider integrating AI technology more effectively with environmental education to promote active learning and sustainability awareness.

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Artificial Intelligence in Natural Science Education: A Case Study on Students’ Environmental Literacy

  • Chia-Sung Yen

摘要

This study examines how AI-driven plant identification applications can enhance students’ environmental literacy, self-directed learning motivation, and awareness of carbon reduction initiatives. Using a qualitative research approach, this study also examines the role of AI tools in fostering learning motivation and ecological actions. The findings suggest that mobile applications enhance students’ interest in and knowledge of plants. Future curriculum designs should consider integrating AI technology more effectively with environmental education to promote active learning and sustainability awareness.