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贝叶斯知识溯源教育影片的策展应用

Applications of Bayesian Knowledge Tracing to the Curation of Educational Videos

作者:Zachary MacHardy 作者单位:Electrical Engineering and Computer Sciences University of California at Berkeley 加工时间:2015-07-07 信息来源:EECS 索取原文[55 页]
关键词:MOOCs;在线学习平台;贝叶斯;教育影片
摘 要:With the popularity of MOOCs and other online learning platforms such as Khan Academy, the role of online education has continued to increase in relation to that of traditional on-campus instruction. At the same time, the need for analytical methods suited for the uniquely large and diverse populations that they serve has grown apace. In particular, as instructors and creators of online educational content grapple with these complex issues, the imperfect transfer of traditional informal, frequently affect-oriented methods of content iteration becomes clear. The need for additional quantitative tools for evaluating course content, taken alongside the opportunity presented by the scope and size of the data associated with such large enrollment courses, poses an interesting problem for analysis.
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