生成式人工智能对高等理科教育的影响:技术框架、能力特征及应用趋势  

The Impact of Generative Artificial Intelligence on Higher Education of Science:Technical Framework,Capability Characteristics and Application Trends

作　　者：魏立才 俸晓雪 杨胜才 胡炳仙 WEI Licai;FENG Xiaoxue;YANG Shengcai;HU Bingxian(School of Education,South-Central Minzu University,Wuhan,430074,China)

机构地区：[1]中南民族大学教育学院,湖北武汉430074

出　　处：《高等理科教育》2024年第6期1-8,共8页Higher Education of Sciences

基　　金：国家社会科学基金教育学一般课题“高水平开放格局下高校海外科技人才引进政策优化研究”(项目编号:BIA230213)。

摘　　要：文章基于深化教育科技人才体制机制一体化改革的战略需求,全面探究了生成式人工智能(AI)在高等理科教育中的应用价值、技术框架、能力特征及发展趋势。通过梳理自然语言处理、计算机视觉和深度学习算法三大技术在生成式AI中的应用及教育价值,并从个性化学习路径规划、智能化教学内容生成、自适应练习与评估生成、沉浸式实验环境构建及虚拟教学助理等维度,剖析了生成式AI对高等理科教育变革的赋能潜力和实践路径。Based on the strategic need for deepening the integrated reform of the education,science and technology talent system and mechanism,this paper comprehensively explores the application value,technical framework,capability characteristics,and development trends of generative artificial intelligence in higher education of science.By reviewing the applications and educational values of three major technologies,namely natural language processing,computer vision,and deep learning algorithms,in generative AI,and from the dimensions of personalized learning path planning,intelligent teaching content generation,adaptive exercise and assessment generation,immersive experimental environment construction,and virtual teaching assistants,the paper analyzes the empowering potential and practical paths of generative AI for the reform of higher education in science and technology.

关 键 词：生成式人工智能 高等理科教育 人才培养 教育变革 人机协同 

分 类 号：G642[文化科学—高等教育学]