How to Judge Learning on Online Learning: Minimum Learning Judgment System
نویسندگان
چکیده
The popularity of online education environment is growing due to the Massive Open Online Course (MOOC) movement. Many types of research in educational data mining (EDM) and Learning Analytics have focused on solving assessment challenges; however, the large number of students enrolled in MOOCs makes it difficult to assess learning outcomes. Thus, it is necessary to develop an automatic learning judgment system. In this study, we designed and developed a minimum learning judgment system that assesses minimal learning using a word game performance measure. In the system, a student watches a video containing educational content and is subsequently tested on information retention by playing a word game that tests the student on the video content. This learning judgment system tests minimal learning of educational content without requiring significant effort from either the instructor or the student. We conducted experiments to show a performance of the system and the result shows about 95% (Pass judgment: 95.1%, Fail judgment: 94.8%) performance.
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