中科院继续教育平台使用现状的分析

Analysis of Current Use in Continuing Education Platform of CAS

继续教育作为一种特殊的教育形式,致力于提高专业技术人员的知识和技能,因此受到职业与专业领域的广泛关注。面对日益迫切的需求,学者设计了许多针对继续教育的教学模式,其中慕课是最典型的一种。但是,如果缺乏有效的管理,慕课很可能会弱化成在线媒体资料库,并失去对用户的吸引力。为规避此类风险,我们对中科院-CASMOOC进行了数据提取和统计分析,并设计了相应的推荐策略。首先,我们研究了CASMOOC的服务目标、应用场景及服务效果。接下来,利用平台积累的学习数据,我们分析了用户和课程的特征。基于用户特征,我们从四个维度将用户分成九种类型;基于课程特征,我们确定了可供推荐的典型课程。最后,针对九类用户在四个分类维度上的差异,我们设计了一种组合推荐策略,以达到既满足各类用户的学习习惯,也可指导他们参加专业领域课程的目标。策略应用后四个月的统计数据显示,用户对CASMOOC的使用模式正在得到改善。

Continuing education,as a special form of education,is committed to improving the knowledge and skills of professional and technical personnel,and thus receives much attention from career and professional fields.Faced with increasingly urgent needs for continuing education,many teaching modes are designed to service users,among which MOOC is a typical one.However,without effective operations,this MOOC-based-mode is very likely to turn into a repository of professional multimedia materials online,and loses its attractiveness among users.To resist such risk,we conducted related data analysis on CASMOOC,the official continuing education platform of the Chinese Academy of Sciences(CAS),and designed corresponding recommendation strategy.Firstly,we studied the goal and background of CASMOOC,as well as its service effect.Based on the study behaviors achieved on the platform,we analyzed characteristics of both users and courses.Then we used these characteristics to classify users on four dimensions and determined the courses that can be recommended.At the end,a combined recommendation strategy is designed to meet users’study habits and guide them to courses involving professional education.The core of such strategy is to take different methods when recommending courses to users with different characteristics.Study Statistics collected from the next four months show that there are improvements among users of treating CASMOOC.