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Citation: Jingnan Li, Qunhui Wang, Mengying Ma, Na Song, Jingrong Shu, Meng Ren, Mingyu Li. 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[J]. University Chemistry, ;2026, 41(8): 1-7. doi: 10.12461/PKU.DXHX202507110 shu

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

Jingnan Li ^1,, ,
Qunhui Wang ^1,2 ,
Mengying Ma ¹ ,
Na Song ¹ ,
Jingrong Shu ¹ ,
Meng Ren ¹ ,
Mingyu Li 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

Corresponding author: Jingnan Li, leares@126.com
Received Date: 28 July 2025
Accepted Date: 15 September 2025

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。
- Artificial intelligence,
- Environmental chemistry,
- Digital and intelligent technology,
- Full-process blended learning
1. [1]
2. [2]
3. [3]
4. [4]
5. [5]
6. [6]
7. [7]
8. [8]
9. [9]
10. [10]
11. [11]
  M. Saimon, F. Mtenzi, Z. Lavicza, K. Fenyvesi, M. Arnold, J.M. Diego-Mantecón, Edu. Inf. Technol. 2024, 29, 23937.
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3. [3]
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12. [12]
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13. [13]
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14. [14]
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16. [16]
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