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当前位置：国际教育学 > 2026年 8卷 (1)期

Open Access Article

International Journal of Education. 2026; 8: (1) ; 1-7 ; DOI: 10.12208/j.ije.20260001.

Exploring the integration of AI-driven drug discovery with ideological and political education in pharmacy curriculum
AI驱动药物发现与药学课程思政融合探索

作者： 彭芷琪^1,2#, 王贯^1,2,3#, 刘威², 胡滨¹ *, 刘博^1,2 *

1 大连医科大学附属第二医院辽宁大连

2 四川大学生物治疗全国重点实验室四川成都

3 四川大学华西临床医学院、华西医院四川成都

*通讯作者：胡滨,单位：大连医科大学附属第二医院辽宁大连；刘博,单位：大连医科大学附属第二医院辽宁大连四川大学生物治疗全国重点实验室四川成都；

大连医科大学教学改革项目（项目编号：DYLX25031）大连医科大学附属第二医院教学项目（项目编号：2024CXCYPY01）四川大学高等教育教学改革工程（第十一期）研究项目（项目编号：SCU11201）四川大学华西临床医学院2025医学人文学术创新研究项目（项目编号：HXYXRW2025C006）四川大学华西临床医学院研究生教育教学改革研究项目（项目编号：HXYJS202433）

发布时间: 2026-02-08 总浏览量: 90

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摘要

随着课程思政在高校不断深化，将专业课程内容与价值引领相融合成为药学教育的重要方向。基于此，研究围绕AI赋能药物研发教学，构建了“专业知识—思政要素—教学设计”三层式课程思政融合框架，以靶点识别、分子设计、ADMET预测等AI药物研发关键环节为载体，系统梳理并嵌入科技伦理、创新精神与社会责任等思政内涵。通过梳理课程知识体系，筛选具有思政价值的药物研发案例，实现专业知识讲授与价值塑造的协同推进。教学实施采用AI辅助的项目驱动学习（AI-PBL）模式，结合案例研讨、虚拟仿真等手段，引导学生在真实问题情境中深化对专业知识的理解，并同步强化科学思维与职业使命感。通过构建涵盖专业知识、工具应用与价值体现的多元化评价机制进行效果评估，为药学课程思政改革提供了系统化、可操作的实践范式。

关键词： 课程思政；人工智能；药学教育

Abstract

With the continuous advancement of curriculum-based ideological and political education in higher education, integrating disciplinary knowledge with value guidance has become an important direction in pharmaceutical education. Against this background, this study focuses on AI-empowered drug discovery education and proposes a three-layered curriculum integration framework encompassing professional knowledge, ideological–ethical elements, and instructional design. Key stages of AI-driven drug discovery—including target identification, molecular design, and ADMET prediction—are employed as instructional carriers to systematically embed core values such as scientific ethics, innovation awareness, and social responsibility. By restructuring the course knowledge system and selecting drug discovery case studies with clear educational value, the study aims to promote the synergistic integration of knowledge acquisition and value cultivation. In terms of instructional implementation, an AI-assisted project-based learning (AI-PBL) approach is adopted, complemented by case-based discussions and virtual simulation activities. This pedagogical design engages students in authentic problem-solving contexts, enabling deeper understanding of disciplinary knowledge while concurrently fostering scientific reasoning and a sense of professional responsibility. Furthermore, a multi-dimensional evaluation framework encompassing subject knowledge mastery, AI tool application competence, and value-oriented learning outcomes is established to assess the effectiveness of the integrated approach. Collectively, this study offers a systematic and operational pedagogical paradigm that may inform and support curriculum-based ideological and political education reform in pharmaceutical education.

Key words： Ideological-political education; Artificial intelligence; Pharmaceutical education

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引用本文

彭芷琪#, 王贯#, 刘威, 胡滨, 刘博, AI驱动药物发现与药学课程思政融合探索[J]. 国际教育学, 2026; 8: (1) : 1-7.

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