Emotion and Associated Topic Detection for Course Comments in a MOOC Platform

Zhi Liu, Wenjing Zhang, Jianwen Sun, Hercy N.H. Cheng, Xian Peng, Sanya Liu

研究成果: 書貢獻/報告類型會議貢獻

25 引文 斯高帕斯(Scopus)

摘要

Massive Open Online Course (MOOC) has been drawn much attention from learners and teachers through the world. MOOC offers a variety of interactive ways, in which the course comment panel is used for express students' opinions and feelings. These comments generally contain some learning problems, attitudes towards the course or the platform support, etc. The feedback information is beneficial for the exchange of ideas among teachers, learners and educational administrators. However, it is quite time-consuming to analyze these important opinions entirely by artificial reading. It is imperative that the MOOC needs the machine learning methods to detect the emotions and topics in text data. In this paper, we propose an application framework and design scheme of intelligent system for the emotion recognition and topic mining, aiming at conducting the intelligent and personalized learning analytics on MOOC. The purposes of the intelligent comment mining system include (1) predicting popularity level of each course, (2) obtaining emotion-topic feedbacks about content of courses for teachers to analyze and improve their teaching strategies, (3) obtaining emotion-topic feedbacks about platform support for administrators to improve user experiences in platform.

原文英語
主出版物標題Proceedings - 5th International Conference on Educational Innovation through Technology, EITT 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面15-19
頁數5
ISBN(電子)9781509061389
DOIs
出版狀態已發佈 - 2月 1 2017
對外發佈
事件5th International Conference on Educational Innovation through Technology, EITT 2016 - Tainan, 臺灣
持續時間: 9月 22 20169月 24 2016

出版系列

名字Proceedings - 5th International Conference on Educational Innovation through Technology, EITT 2016

會議

會議5th International Conference on Educational Innovation through Technology, EITT 2016
國家/地區臺灣
城市Tainan
期間9/22/169/24/16

ASJC Scopus subject areas

  • 電腦科學應用
  • 教育

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