个性化自适应学习研究——大数据时代数字化学习的新常态

Research on Personalized Adaptive Learning —A New Normal Form of Digital Learning in Big Data Era

随着移动互联网、智慧教育的发展，个性化自适应学习成为新兴的研究热点，将成为以大数据为基础的教育技术新范式。该文通过对中外相关文献的综述和分析，对个性化自适应学习的概念、研究历程以及取得成就和影响力等方面进行了详细阐述，强调了个性化自适应学习的发展趋向，使其成为大数据时代数字化学习的新常态；重点提炼了个性化自适应学习的元认知与开放学习者模型、自主学习方式、信息可视化处理和大数据学习分析。大数据时代个性化自适应学习研究新视角可从智能感知、个性化、预知性、动态平衡、智能化评价及实现学习者思维过程的可视化等层面审视，研究成果将被应用在MOOC个性化设计、网络学习空间人人通建设、未来智慧教育发展等方面。

With the development of mobile internet and smart education， personalized adaptive learning has become a new paradigm of education technology based on big data. Based on the related literature， this paper has described the concept， research history， achievements and influence of personalized adaptive learning， which has reinforced the development of personalized adaptive learning and made it a new normal form of digital learning in big data age. Especially， the topic of personalized adaptive learning， covering its meta-cognitive， open learner model， self-regulated learning method， information visualization process and big data learning analysis has been explored. Major trends， possible challenges and application prospects of personalized adaptive learning were also discussed in the paper. Research perspectives of personalized adaptive learning in big data era: intelligence， personalization， unpredictability， dynamic balance， intelligent assessment and learning thinking visualization. The results may be applied in personalized MOOC design， everyone connection construction based on online learning space and future smart education development.