基于培养学生自主学习能力的远程教学平台研究

Remote Teaching Platform Research Based on Students' Self-study Ability Training

针对远程教学平台发展到现阶段存在的"知识个性化需求"问题,提出了一种"行为反馈一系统改善"机制。该机制通过对平台使用者的学习爱好、学习习惯、学习进程等行为信息收集与分析,向使用者有针对性、个性化地推荐其所需的内容,以达到针对每位使用者自适应、有针对性地个性化服务目的,形成"自主学习—系统推荐—更有针对性地自主学习"这样的良性循环。

Aiming at the problem of knowledge personalized demand in remote teaching platform, a mechanism of ＂behavior feedback--system improvement＂ was proposed. By gathering and analyzing platform users＇ behavior information such as learning interest, learning habits and learning progress, personalized con- tents will be recommended to users in order to realize tailormade service for each user. And finally a good cycle of ＂self- study--system recommendation--personalized study＂ can be realized.