大学化学 >> 2026, Vol. 41 >> Issue (8): 1-7.doi: 10.12461/PKU.DXHX202507110

教学研究与改革 上一篇    下一篇

数智技术赋能环境化学课程全过程混合式教学改革与实践

李婧男1, 汪群慧1,2, 马梦莹1, 宋娜1, 舒敬荣1, 任梦1, 李明雨1   

  1. 1 北京科技大学天津学院, 天津 301830;
    2 北京科技大学能源与环境工程学院, 北京 100083
  • 收稿日期:2025-07-28 录用日期:2025-09-15 发布日期:2026-08-25
  • 通讯作者: 李婧男 E-mail:leares@126.com Jingnan Li
  • 基金资助:
    北京科技大学天津学院新工科课程(2025GKXM02)；天津市第三批一流本科建设课程-环境化学(YLKC202104)；北京科技大学天津学院校级一流专业建设(YLZY202402)；北京科技大学天津学院骨干人才培养计划“中青年学科带头人”项目(TYGG2024D02)

Reform and practice of full-process blended learning in environmental chemistry courses enhanced by digital and intelligent technologies

Jingnan Li1, Qunhui Wang1,2, Mengying Ma1, Na Song1, Jingrong Shu1, Meng Ren1, Mingyu Li1   

  1. 1 Tianjin College, University of Science and Technology Beijing, Tianjin 301830, China;
    2 School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
  • Received:2025-07-28 Accepted:2025-09-15 Published:2026-08-25
  • Contact: Jingnan Li E-mail:leares@126.com

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摘要： 聚焦数智技术赋能环境化学课程的全过程混合式教学模式创新，探讨了通过数智技术推动教学全过程深度融合的路径。研究表明，借助数智技术可实现课程内容的动态更新，使课堂及时跟进环境领域的最新科研与应用进展；通过虚拟仿真支持的案例与项目式教学，学生能够在接近真实的复杂情境中提升问题分析与解决能力；依托智能化平台构建全过程评价体系，可以对学生学习过程进行多维度监测与反馈，促进差异化学习和持续改进。本文总结了数智技术在环境化学课程中的具体应用，梳理了全过程混合式教学的主要要素与实践路径，为培养具备创新能力和实践能力的环境领域专业人才提供有力支持。

关键词: 人工智能, 环境化学, 数智技术, 全过程混合式教学

Abstract: This study investigates the innovation of full-process blended learning in environmental chemistry courses through the application of digital and intelligent technologies, aiming to facilitate deep integration across all teaching stages. By utilizing these advanced technologies, the teaching content can be dynamically updated to align with cutting-edge scientific research and practical developments in environmental science. Virtual simulation-supported project-based and case-driven teaching methods enable students to strengthen their analytical and problem-solving skills in complex, near-realistic scenarios. Furthermore, an intelligent platform-based comprehensive evaluation system provides multidimensional monitoring and feedback on students' learning processes and outcomes, promoting differentiated learning and continuous improvement. This paper summarizes the specific implementations of digital and intelligent technologies in curriculum reform and highlights the key components and practices of full-process blended learning, offering robust support for cultivating innovative and practice-oriented environmental professionals.

Key words: Artificial intelligence, Environmental chemistry, Digital and intelligent technology, Full-process blended learning