国内自适应学习系统的研究现状综述

Review of Research Status of Adaptive Learning System in China

自适应学习系统是从智能教学系统发展而来的,是人工智能在教育领域中的新应用。该系统可以通过收集学生实时交互数据进行学习分析、推荐学习资源、采取相应教学策略,从而使学生达到个性化学习的目的。本文首先回顾了1997—2017年国内自适应学习系统的研究历程,将其分为三个发展阶段。其次具体分析了这三个阶段的研究特点,并总结出存在的不足,最后给出了三点建议和讨论。

The Adaptive Learning System is developed from the intelligent teaching system(ITS),which is a new application of artificial intelligence in the field of education.The system can collect students'real-time interactive data to study and analyze,recommend learning resources and adopt corresponding teaching strategies,so as to make students achieve individualized learning.Firstly,this paper reviews the research process of adaptive learning system in1997-2017,and divides it into three stages of development.Secondly,this paper analyzes the characteristics of these three stages and sums up the deficiencies,and finally gives three suggestions and discussions.