基于大数据的牛顿平台自适应学习机制分析——“教育大数据研究与实践专栏”之关键技术篇

Investigation on Adaptive Learning Mechanism of Big Data based on Knewton Platform ——The Key Technology of “Research and Practice Column about Big Data in Education”

个性化和自适应学习系统是教育大数据应用服务的主要阵地,自适应学习系统能够采集学习过程中的行为数据,并对学生的学习兴趣、知识水平、学习风格、学习进度等做出分析和预测,以提供个性化的学习服务。近年来被学术界和企业界所广泛认可的典型自适应学习平台——牛顿平台(Knewton Platform)正逐步兴起,文章从自适应原理、核心技术、自适应服务三个方面对牛顿平台进行了剖析,以期能够为教育大数据分析研究人员和自适应学习平台设计者提供理论参考和技术借鉴。

Personalized and adaptive learning system is one of the vital applications of big data in education, which can collect learning behavior data and provide analysis and prediction on students＇ learning interest, knowledge level, learning style and learning progress. A typical adaptive learning system——Knewton Platform which has been widely recognized by academia and enterprise in recent years is rising gradually. A deep analysis on Knewton Platform, from the aspects of adaptive mechanism, core techniques and adaptive service, was made to provide some theory and technology references for the researchers of big data in education and designers of adaptive learning platform in the future.