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タイトル
和文: 
英文:Topic Modeling in MOOCs: What Was to Be Discussed, What the Instructor Discussed, and What the Learners Discussed 
著者
和文: CARLON May Kristine Jonson, ASA Anie Day De Castro, Keerativoranan Nopphon, 長濱 澄, クロス ジェフリー スコット.  
英文: May Kristine Carlon, Anie Day Asa, Nopphon Keerativoranan, Toru Nagahama, Jeffrey S. Cross.  
言語 English 
掲載誌/書名
和文: 
英文: 
巻, 号, ページ        
出版年月 2021年12月 
出版者
和文: 
英文: 
会議名称
和文: 
英文:2021 IEEE International Conference on Engineering, Technology & Education (TALE) 
開催地
和文: 
英文:Central China Normal University (CCNU) 
アブストラクト Typically, an online course instructor creates a course outline to serve as a guide for content delivery throughout the course. While instructors can adjust the contents based on their learners' feedback and performance in instructor-paced courses, the same cannot be easily said for massive open online courses (MOOCs) that are running continuously for months or years. For example, the instructor cannot make drastic changes to self-paced MOOC content until the course is closed, revised and re-released. In this study, we executed topic modeling on a MOOC on microbiology to see if it can be a viable means of assessing how well the MOOC content was able to capture the course outline concepts. The same approach was applied to discussion board posts to identify which topics resonated with the learners. We learned that topic modeling can be useful in achieving the said goals. This can be impactful in introducing improvements to the online course even before the course is revised and re-released.

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