AI赋能材料化学专业“学-知-用”培养模式改革与实践

引用本文: 梁大鑫, 李煜东, 杨海月, 陈百灵, 刘志明, 王成毓. AI赋能材料化学专业“学-知-用”培养模式改革与实践[J]. 大学化学, 2025, 40(9): 253-263. doi: 10.12461/PKU.DXHX202503020 shu

Citation: Daxin Liang, Yudong Li, Haiyue Yang, Bailing Chen, Zhiming Liu, Chengyu Wang. Reform and Practice of an AI-Empowered “Learning-Understanding-Application” Training Model in Materials Chemistry Education[J]. University Chemistry, 2025, 40(9): 253-263. doi: 10.12461/PKU.DXHX202503020 shu

AI赋能材料化学专业“学-知-用”培养模式改革与实践

东北林业大学材料科学与工程学院, 哈尔滨 150040

通讯作者: 王成毓,E-mail:wangcy@nefu.edu.cn

基金项目:
黑龙江省高等教育学会高等教育研究课题“基于创新创业的教育链、创新链与产业链协同发展研究”(23GJYBC004)

摘要: 在形成和发展新质生产力的背景下，人工智能(AI)已成为化学研究及教育教学领域的强大工具。本研究基于东北林业大学材料化学专业在产教融合背景下的“学-知-用”培养模式改革，结合AI技术，通过构建智能虚拟仿真实验平台和产教协同智能评估系统，有效解决了传统教育模式中理论实践脱节(学用转化率不足42%)、知识体系碎片化(跨课程知识关联度仅31.7%)、创新成果转化迟滞(平均转化周期超18个月)等突出问题。项目实施三年来取得显著成效：学生创新成果转化周期缩短至5.8个月，较传统模式提升67.8%；在中国国际大学生创新大赛等国家级竞赛中获奖数量增长147.8%。本研究验证了AI技术在破解产教融合深层矛盾中的独特价值，构建的“技术赋能-实践强化-产业反哺”教育生态体系，为新工科背景下材料化学专业人才培养提供了可复制范式。

关键词:

English

Reform and Practice of an AI-Empowered “Learning-Understanding-Application” Training Model in Materials Chemistry Education

College of Materials Science and Engineering, Northeast Forestry University, Harbin 150040, China

Corresponding author: Chengyu Wang, wangcy@nefu.edu.cn

Received Date: 03 March 2025
Accepted Date: 13 May 2025
Available Online: 11 August 2025

Abstract: In the context of developing new quality productive forces, artificial intelligence (AI) has become a powerful tool in chemical research and education. This study presents the reform of the “Learning-Understanding-Application” cultivation model in Materials Chemistry at Northeast Forestry University, integrating AI technologies through the establishment of an intelligent virtual simulation platform and an industry-education collaborative intelligent evaluation system. These innovations effectively address key challenges in traditional education: the theory-practice disconnect (with knowledge application rates below 42%), fragmented knowledge systems (exhibiting only 31.7% cross-course relevance), and delayed innovation commercialization (averaging over 18 months for implementation). Over three years of implementation, the project has demonstrated significant outcomes: the innovation-to-market cycle for student projects shortened to 5.8 months (a 67.8% improvement), while national competition awards (including those from the China International College Students’ Innovation Competition) increased by 147.8%. This research confirms the unique value of AI in resolving fundamental industry-education integration challenges and establishes a replicable “Technology Empowerment - Practice Reinforcement - Industry Feedback” educational ecosystem for materials chemistry education within the emerging engineering education framework.

Key words:

AI empowerment
/ Materials chemistry
/ “Learning-understanding-application” model
/ Intelligent assessment

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沈阳化工大学材料科学与工程学院沈阳 110142

AI赋能材料化学专业“学-知-用”培养模式改革与实践

通讯作者: 王成毓,E-mail:wangcy@nefu.edu.cn

English

Reform and Practice of an AI-Empowered “Learning-Understanding-Application” Training Model in Materials Chemistry Education

Corresponding author: Chengyu Wang, wangcy@nefu.edu.cn

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通讯作者: 陈斌, bchen63@163.com

中国化学会秘书处

AI赋能材料化学专业“学-知-用”培养模式改革与实践

通讯作者: 王成毓,E-mail:wangcy@nefu.edu.cn

English

Reform and Practice of an AI-Empowered “Learning-Understanding-Application” Training Model in Materials Chemistry Education

Corresponding author: Chengyu Wang, wangcy@nefu.edu.cn

CCS Chemistry：嵌段共聚物自组装成 “三明治”二维有机材料，实现纳米级压力传感功能

CCS Chemistry：颜徐州、鲍哲南： 你的皮肤可能是一片SPMs

CCS Chemistry：工作高效不疲劳，只须让催化剂动起来

CCS Chemistry：静电组装导向聚合- 聚电解质纳米凝胶量化制备新策略

CCS Chemistry：金黄色葡萄球菌醛基脱氢酶是如何识别特异性底物的？

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