【作 者】：
周 海 波
【关 键 词 】：
自适应学习平台； 个性化学习； 适应性学习； 学习特征； 学习路径
【栏 目】：
职业教育信息化
【中文摘要】：
大数据时代的来临，引发了教学方式的重大变革，基于大数据分析技术的自适应学习平台个性化学习成为教育技术新范式。本研究通过对中外相关文献的分析，对个性化自适应学习概念、时代背景及获得的成就进行叙述，并着重强调了个性化自适应学习是时代发展的呼唤，是教育学研究的新趋势，是科学技术和教学研究深度融合的新典范；重点表述自适应学习平台的框架体系结构、学习者学习特征模型、个性化学习资源推送和个性化学习路径推荐。最后通过教学实践表明：基于自适应学习平台的个性化学习对普通学习者的学习成绩有显著正向影响，而对优秀学习者的学习成绩提高的影响不显著；但在学习兴趣、问题抛弃率和尝试次数等方面都有明显正向影响。研究结果为进一步改进和优化自适应学习平台提供了参考依据。
【英文摘要】：
With the advent of big data era, major changes in teaching methods have taken place. Personalized learning of adaptive learning platform based on big data analysis technique has become a new paradigm of education technology. Through the analysis of related literature at home and abroad, this study describes the concepts, backgrounds and achievements of personalized adaptive learning, and emphasizes that personalized adaptive learning is the call of the times, the new trend of pedagogy research, and a new paradigm of deep integration between technology and teaching research. This study focuses on the framework architecture of adaptive learning platform, learning feature model of learners, the push of personalized learning resource, and recommendations for personalized learning paths. Research results indicate that personalized learning based on adaptive learning platform has a significant positive influence on ordinary learners' academic performance, and the impact on excellent learners is not significant. But there are obvious positive impacts on learning interest, problem rejection ratio and the number of attempts of excellent students. The research results provide references for further improvement and optimization of adaptive learning platform.