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Citation: Yalu Ma, Yun Tian, Xiaofei Ma. DeepSeek Large Model: Implications for Inorganic Chemistry Teaching and Learning[J]. University Chemistry, ;2025, 40(9): 171-177. doi: 10.12461/PKU.DXHX202502109 shu

DeepSeek Large Model: Implications for Inorganic Chemistry Teaching and Learning

Department of Chemistry, School of Science, Tianjin University, Tianjin 300354, China

Corresponding author: Yalu Ma, mayalu@tju.edu.cn
Received Date: 20 February 2025
Accepted Date: 16 April 2025

This study employs the DeepSeek large model to conduct simulated learning and explores its effective elements in inorganic chemistry education. In the era of digital-intelligent empowerment, it is imperative to reconsider innovative approaches for chemistry curriculum teaching and learning, thereby addressing the evolving requirements and challenges posed by social development in the field of inorganic chemistry education.
- DeepSeek large model,
- Inorganic chemistry,
- Teaching and learning,
- Innovation,
- Challenge
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