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
张晓金 1高艳锋 2曹思思 1陶俊妃 1何雪涵1
作者信息
- 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
- 折叠
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.
Abstract
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 Arti-ficial 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 experi-mental teaching programs in the course of Biochemistry and Molecular Biology,exploring the potential of AIGC in experimental teach-ing.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Key words
biochemistry/molecular biology/experimental teaching/AIGC/ChatGPT/teaching reform引用本文复制引用
基金项目
中山大学教学质量与教学改革工程基金(中大教务[2023]96号)
出版年
2024
国家科技期刊平台
NSTL
万方数据