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以人工智能驱动的教学研究

李博 刘埔 杜怡丹

高教学刊2026,Vol.12Issue(24):1-5,5.
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高教学刊2026,Vol.12Issue(24):1-5,5.DOI:10.19980/j.CN23-1593/G4.2026.24.001

以人工智能驱动的教学研究

李博 1刘埔 1杜怡丹1

作者信息

  • 1. 贵州大学 资源与环境工程学院/喀斯特地质资源与环境教育部重点实验室,贵阳 550025
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摘要

Abstract

This paper explores how artificial intelligence(AI)technology is profoundly transforming education,with a focus on classroom teaching reform in the field of hydrology and water resources engineering.To address challenges and seize opportunities,this study proposes a new tiered teaching system that integrates traditional instruction with AI technology.Designed based on existing issues in professional teaching and the characteristics of AI technology,the paper elaborates on its design principles,tiered classification methods,system composition,and fundamental implementation pathways.Simultaneously,the study objectively identifies three major challenges faced by this system:the complexity of technology integration,insufficient teacher awareness and competence in technology,and limitations in current teaching evaluation mechanisms.In response to these issues,the research proposes corresponding improvement approaches and strategies.The final analysis indicates that this AI-empowered tiered teaching model significantly enhances overall teaching quality and cultivates students'comprehensive abilities,offering valuable insights for teaching reform in hydrology and water resources engineering.

关键词

人工智能/阶梯式教学模式/水文与水资源工程专业/教学创新/教学评价

Key words

Artificial Intelligence/stepped teaching model/Hydrology and Water Resources Engineering/teaching innovation/teaching research

分类

社会科学

引用本文复制引用

李博,刘埔,杜怡丹..以人工智能驱动的教学研究[J].高教学刊,2026,12(24):1-5,5.

基金项目

贵州省高等学校本科教学内容和课程体系改革项目"创新驱动、目标引领、思政融入的水文与水资源工程专业全程育人模式研究"(GZJG2024018) (GZJG2024018)

贵州省研究生教育创新计划项目"'富矿精开'需求驱动下矿山水文地质方向专业型研究生的'PACE'培养模式创新"(2024YJSJGXM002) (2024YJSJGXM002)

高教学刊

2096-000X

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