“互联网+”背景下的学生个性化学习系统开发:现状与启示

Personalized Learning System Development Under the Background of Internet: Present Situation and the Enlightenment

随着"互联网+"时代的到来,个性化学习系统的开发成为教育技术领域的热点。个性化学习系统可以实现对学生学习的及时评估并为他们推送和制定个性化的学习资源和学习路径,为教学相关人员提供及时干预和政策制定的参考。本文对个性化学习系统的自适应引擎、内容模块、学习者模块及指导模块等重要组成进行了介绍,通过分析学习分析技术及教育测量模型为个性化学习系统理论框架的完善提供了方向,同时梳理了以Knew ton为代表的国外个性化学习系统的应用发展,并对我国个性化学习系统的开发应用提出了一些政策性建议。

With the advent of the era of Internet ＋, the development of personalized learning sys- tem becomes a hotspot in the field of educational technology. Personalized learning system can realize timely evaluation of students＇ learning and provide students with personalized learning resources and learning path. In the meanwhile, this system can provide references to relevant teaching personnel for timely intervention and policy creation. This paper describes four important components of personalized learning system including adaptive engine, content module, learner module and instruction module. Through analyzing learning analytics and educational measurement models, this paper provides a direc- tion for perfecting the theory frame of personalized learning system. Furthermore, this paper sorts out the overseas development and application of personalized learning system which is represented by Knewton and put forward some policy suggestions for the development and application of personalized learning system in China.