人工智能背景下代谢生物化学知识树问题链构建  

Constructing a Knowledge Tree of Metabolic Biochemistry Based on a Chain of Questions in the Era of Artificial Intelligence

作　　者：张静[1] 王雅梅[1] 孔璐[1] ZHANG Jing;WANG Yamei;KONG Lu(Department of Biochemistry and Molecular Biology,Capital Medical University,Beijing 100069,China)

机构地区：[1]首都医科大学基础医学院生物化学与分子生物学系,北京100069

出　　处：《医学教育研究与实践》2024年第6期751-756,共6页Medical Education Research and Practice

基　　金：北京市高等教育学会2023年课题面上项目(MS2023291)。

摘　　要：通过设计层层递进的问题链构建代谢生物化学知识树,以提高学生的自主学习能力和批判性思维能力。以“蛋白质的消化吸收与氨基酸代谢”章节为例,教师通过设置基础、进阶、应用和综合层次的问题,引导学生从基础知识到综合应用逐步构建系统的知识结构。结合生成式人工智能技术,帮助学生在自主探索中保持学习兴趣和注意力。这种方法的应用不仅增强了课堂互动性和有效性,也为医学教育的发展提供新思路。This paper proposes an innovative teaching method that constructs a knowledge tree of metabolic biochemistry by designing a progressive chain of questions to enhance students’self-directed learning ability and critical thinking skills.Taking the chapter“Digestion and Absorption of Proteins and Amino Acid Metabolism”as an example,teachers set up questions at foundational,intermediate,application,and comprehensive levels to guide students from basic knowledge to comprehensive application,gradually building a systematic knowledge structure.By incorporating generative AI technology,this method helps students maintain interest in learning and attention in their independent exploration.This approach can not only enhance classroom interactivity and effectiveness but also provide new perspectives for the development of medical education.

关 键 词：问题链 代谢生物化学 知识树 自主学习 批判性思维 人工智能 

分 类 号：G642[文化科学—高等教育学]