在线教育技术解决方案：AI智能督学与个性化学习路径

With the rapid advancement of artificial intelligence (AI) technology, the role of adaptive learning in promoting students' personalized learning outcomes has become a pivotal issue in current educational reform and technology application. Based on this, this paper conducted a meta-analysis of 29 experimental and quasi-experimental research to explore the influence of AI-driven adaptive learning on students' personalized learning outcomes, and to examine potential moderating variables that may cause heterogeneity in the research findings. The results indicated that AI-driven adaptive learning had a significant positive effect on students' personalized learning outcomes, with particularly prominent performance in enhancing sustainable adaptive learning abilities. Furthermore, the effectiveness of AI-driven adaptive learning was regulated by the specific adaptive technologies and adaptive engines employed. Based on the above findings, in order to promote the efficiency of AI-driven adaptive learning in enhancing students' personalized learning and technical adaptability, provide support for promoting personalized cognitive outcomes and personalized non-cognitive development, and optimize the application of adaptive technologies and adaptive engines, so as to enhance the effectiveness of AI-driven adaptive learning in promoting students' personalized learning and improving their technological adaptability.

人工智能赋能医学免疫学:从前沿研究到教育创新