Exploring of AI-driven Online-offline Blended Teaching in Human and Animal Physiology

DOI: https://doi.org/10.62517/jnse.202617408

Author(s)

Xuyan Li1,*, Kaizhuo Xu2, Miao Yu1, Xiang Jiang1, Juan Zhao1, Yufei Feng1, Hongjun Zhang1

Affiliation(s)

1School of Life Science and Technology, Lingnan Normal University, Zhanjiang, Guangdong, China 2TungWah Senior High School, Dongguan, Guangdong, China *Corresponding Author

Abstract

To address the key challenges in the online-offline blended teaching of Human and Animal Physiology, this study explored AI-empowered application pathway, including AI-assisted learning analysis and teaching case updating, AI-powered intelligent tutoring, AI agent-driven inquiry-based teaching and AI-empowered competency evaluation in labor education. Practice has shown that integrating AI into pre-class, in-class and post-class teaching activities effectively enhanced teachers’ educational and teaching competencies as well as instructional efficiency, promoted the development of students’ inquiry abilities, and enriched the dimensions of competency evaluation. Meanwhile, it effectively stimulating students’ enthusiasm and initiative for learning, enhancing their innovation awareness and abilities. This study provide a foundation for curriculum reform.

Keywords

Human and Animal Physiology; Blended Online and Offline Teaching; AI-assisted Teaching; Inquiry-based Teaching; Labor Education Literacy Evaluation

References

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