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.
Abstract
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 edu-cation of science.By reviewing the applications and educational values of three major technologies,namely nat-ural language processing,computer vision,and deep learning algorithms,in generative AI,and from the dimen-sions of personalized learning path planning,intelligent teaching content generation,adaptive exercise and as-sessment generation,immersive experimental environment construction,and virtual teaching assistants,the pa-per analyzes the empowering potential and practical paths of generative AI for the reform of higher education in science and technology.
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