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Exploring the Integration of AI into Classroom Instruction to Support Simulation-Based Experimentation: A Case Study on "El Ni and La Ni"

Shaoyi Tang*, Hui Lin, Mingyang Zhou

Abstract


With the advancement of educational digitization and the development of generative artificial intelligence, the deep integration of
AI into classroom instruction has become a crucial direction for educational transformation. Taking the high school geography topic "El Ni
and La Ni" as a case study, this paper develops a teaching design based on curriculum standards. It employs a contextual case study focus
ing on habitat changes of the neritic squid Uroteuthis duvaucelii off the coast of Zhejiang Province. Leveraging an AI-generated teaching plat
form, the design utilizes AI to deliver scientific research data, drive simulated experiments, construct an intelligent case library, and provide
a discussion assistant. By transforming the abstract mechanisms of ENSO into a visual and explorable context, the design guides students in
investigating the causes and impacts of these phenomena. This exploration aims to establish a new approach to teaching with AI-supported
simulated experiments, helping students intuitively grasp geographical knowledge, enhance memory retention, and cultivate core competen
cies such as geographical practice ability and comprehensive thinking, thereby realizing the educational value of deeply integrating AI into
geography instruction.

Keywords



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References


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DOI: http://dx.doi.org/10.70711/neet.v4i5.9258

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