AIGC的教学应用研究现状与展望
The Current Status and Prospects of AIGC in Teaching Applications
周国栋 1张墩利 1周昕1
作者信息
摘要
AIGC在教学领域的应用是当前关注热点,但已有研究存在两个不足,一是缺乏定量研究,研究结果无法科学量化,二是目前的研究主要停留在教学实施环节,对更为关键的教学设计环节鲜有涉及.可以利用ChatGPT4.0辅助提取教学重点、归纳教学难点,开展相关实验,并引入准确率、召回率、F1 值对结果进行量化.结果表明,当前的AIGC产品仅对理论型知识敏感,准确率较高,而对实操和设备类知识具有较大的理解偏差.建议进一步深化AIGC与教育行业的融合发展,人工智能行业应积极将AIGC技术从通用人工智能向教育领域的垂直人工智能进化,教育行业应着手制定AIGC技术在教学应用中的规范和标准,教学工作者要积极改进AIGC在教学领域的应用方式.
Abstract
The application of generative artificial intelligence technology in the field of teaching has become a current research hotspot.However,there are two shortcomings.Firstly,there is a lack of quantitative research,and the research results cannot be scientifically quantified;Secondly,current research mainly focuses on the implementation of teaching,with little involvement in the more critical teaching design process.ChatGPT4.0 is used to help extract teaching key points and summarize teaching difficulties,and relevant experiments are carried out,and the accuracy rate,recall rate and F1 value are introduced to quantify the results.The results indicate that current AIGC products are only sensitive to theoretical knowledge and have good accuracy,while there is a significant understanding deviation in practical and equipment knowledge.At the end of the article,relevant suggestions were put forward for the integration and development of AIGC and the education industry.
关键词
生成式人工智能/教学改革/教育信息化/ChatGPTKey words
generative AI/teaching reform/education informationization/ChatGPT引用本文复制引用
基金项目
湖南省职业院校教育教学改革研究项目(ZIGB2023381)
湖南省教育厅科学研究课题(22C0972)
出版年
2024
NETL
NSTL
万方数据