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Research on the Paths and Practices of Artificial Intelligence Empowering High School Biology Teaching

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  • Chang, Junhong

Abstract

With the rapid development of artificial intelligence (AI) technologies, their application in education has become increasingly prominent. This study explores the integration of AI into high school biology teaching, aiming to design practical pathways that enhance teaching effectiveness and student learning outcomes. Taking a high school biology lesson on mitosis as a case study, the research demonstrates how AI-driven tools such as dynamic visualization, virtual microscopy, and adaptive assessment can address traditional teaching challenges, promote student engagement, and foster scientific literacy. The study also discusses challenges related to infrastructure, teacher training, and data privacy, proposing feasible countermeasures for sustainable AI integration. The findings provide valuable insights for educators and policymakers seeking to leverage AI to transform biology education at the secondary level.

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  • Chang, Junhong, 2025. "Research on the Paths and Practices of Artificial Intelligence Empowering High School Biology Teaching," Education Insights, Scientific Open Access Publishing, vol. 2(8), pages 53-63.
    • Handle: RePEc:axf:eiaaaa:v:2:y:2025:i:8:p:53-63
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