AIGC应用于生物化学与分子生物学实验教学探索  

Application of artificial intelligence generated content in experimental teaching of biochemistry and molecular biology

作　　者：张晓金 高艳锋 曹思思 陶俊妃 何雪涵 ZHANG Xiaojin;GAO Yanfeng;CAO Sisi;TAO Junfei;HE Xuehan(Experimental Center,School of Pharmaceutical Sciences(Shenz-hen),Sun Yat--sen University,Shenzhen 518107,China)

机构地区：[1]中山大学药学院(深圳)实验中心,深圳518107 [2]中山大学药学院(深圳)药物化学教研室

出　　处：《基础医学教育》2024年第5期406-411,共6页Basic Medical Education

基　　金：中山大学教学质量与教学改革工程基金资助项目(中大教务[2023]96号)。

摘　　要：在数字化时代的浪潮下,人工智能前沿技术与传统教学模式相结合是实验课程教学改革的重要方向。文章根据人工智能生成内容(AIGC)的研究现状,选取ChatGPT这一先进的自然语言模型作为工具,探讨了其对教师和学生的帮助以及现阶段存在的局限性,同时结合日常实验教学实践,将ChatGPT-4应用于生物化学与分子生物学实验教学方案设计中,初步探索了AIGC在实验课程教学中的应用潜力,为进一步深化对AIGC应用的研究、探索更多具有创新性的实验教学模式提供了参考。Amid the wave of the digital era,the integration of cutting-edge Artificial Intelligence technology with traditional teaching models has become an important direction for the teaching reform of experimental courses.Based on the current research status of Artificial Intelligence Generated Content(AIGC),this article selects ChatGPT,an advanced natural language model,as the tool to explore its assistance to teachers and students as well as its limitations at this stage.The authors applied ChatGPT-4 to the design of experimental teaching programs in the course of Biochemistry and Molecular Biology,exploring the potential of AIGC in experimental teaching.This teaching reform aims to provide a reference for further research on the application of AIGC and exploration on more innovative experimental teaching models.

关 键 词：生物化学 分子生物学 实验教学 AIGC ChatGPT 教学改革 

分 类 号：R34[医药卫生—基础医学]