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生成式人工智能赋能科学教育的应用场景、现实挑战和推进路径

吴军其 戴新菊 吴飞燕 张萌萌

当代教育论坛Issue(3):9-17,9.
当代教育论坛Issue(3):9-17,9.

生成式人工智能赋能科学教育的应用场景、现实挑战和推进路径

Application Scenarios,Practical Challenges,and Promotion Paths of GenAI-Enabled Science Education

吴军其 1戴新菊 2吴飞燕 3张萌萌2

作者信息

  • 1. 华中师范大学教师教育学院(武汉 430079)
  • 2. 华中师范大学人工智能教育学部(武汉 430079)
  • 3. 南宁师范大学人工智能学院(南宁 530028)
  • 折叠

摘要

Abstract

Science education stands as a pivotal cornerstone for nurturing innovative talents,enhancing the scientific literacy of the populace,and driving technological advancements and social development.How science education can ride the waves and overcome difficulties to achieve high-quality development in the era of artificial intelligence has become a pressing issue that urgently needs to be explored.This article delves deeply into the potential merits of generative artificial intelligence(GenAI)within science education,sketching out a four-dimensional integrated application scenario where generative AI empowers science education across teaching,learning,management,and evaluation dimensions.Based on the dilemma analysis of the four-dimensional integration application scenario of GenAI empowering science education,this article dissects the potential challenges faced,encompassing deviations in target orientation and value cognition,inadequate intelligent application and interdisciplinary integration skills among teachers and students,the absence of a replicable and scalable practical pathway,and the lack of standardized frameworks for teaching,evaluation,and management.Furthermore,it endeavors to take educational philosophy innovation and technological empowerment as leverage points,proposing reforms and innovations across six facets:science education resource development,environment creation,methodological innovation,evaluation reform,mechanism establishment,and literacy enhancement.Ultimately,it aims to forge a"two-fulcrum,six-dimensional"practical pathway for generative AI to empower science education,offering a pathway reference for the high-quality development of science education in the AI era.

关键词

科学教育/GenAI/应用场景/现实挑战/推进路径

Key words

science education/Generative Artificial Intelligence/application scenarios/realistic challenges/advancement pathways

引用本文复制引用

吴军其,戴新菊,吴飞燕,张萌萌..生成式人工智能赋能科学教育的应用场景、现实挑战和推进路径[J].当代教育论坛,2026,(3):9-17,9.

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