思想政治教育专业大模型的提出设想与应用展望
Proposal and Application Prospect of Large Models Designated for Ideological and Political Education
李雪洁1
作者信息
- 1. 华东师范大学马克思主义学院,上海 200241
- 折叠
摘要
思想政治教育数字化转型是人工智能时代推进思想政治教育创新发展、提质增效的关键举措.突破"技术奇点"的ChatGPT使大模型的自然语言处理能力达到新高度,为赋能思想政治教育数字化转型带来新机遇,但ChatGPT等通用大模型的领域针对性与精准度不足,使得思想政治教育场景应用遭遇专业壁垒.大模型想要为思想政治教育带来变革式重塑,就需要"入域",完成大模型的思想政治教育化,规避浅表化、工具化和短期性的思想政治教育数字化,建构起思想政治教育领域的专业大模型.
Abstract
The digital transformation of ideological and political education is a key measure to promote innovative development and improve the quality and efficiency of ideological and political education in the era of artificial intelligence.ChatGPT,which breaks through the"technological singularity,"has greatly enhanced the natural language processing capability of large models,bringing new opportunities for empowering the digital transformation of ideological and political education.However,the lack of domain specificity and precision in general large models like ChatGPT poses a professional barrier to the application in ideological and political education scenarios.In order to bring revolutionary reshaping to ideological and political education,large models need to"enter the field",undergo a transformation towards ideological and political education,avoid superficial,instrumental and short-term ideological and political education digitization,and construct professional large models specifically designed for the field of ideological and political education.
关键词
大模型/人工智能/思想政治教育Key words
big model/artificial intelligence/ideological and political education引用本文复制引用
基金项目
2022-2023年度上海市学校共青团工作课题(2022LX33-09)
出版年
2024
NETL
NSTL
万方数据