Emotional issues in collaborative learning: Bibliometrics with topic modeling

Xieling CHEN, Di ZOU, Lucas KOHNKE, Haoran XIE

Research output: Book Chapters | Papers in Conference ProceedingsConference (Extended Abstracts)

Abstract

Collaborative learning has been widely researched in education. The roles of motivation and emotions have been found to be central to collaborative learning. Research on emotional issues in collaborative learning has increasingly become an active field. However, no attempt has been made to evaluate the literature concerning emotional issues in collaborative learning. This study is thus conducted to fill this gap by summarizing its status and development trend.

Original languageEnglish
Title of host publicationProceedings of International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020)
EditorsGary CHENG, Haoran XIE, Di ZOU
PublisherThe Education University of Hong Kong
Pages11
Number of pages1
ISBN (Electronic)9789887429814
Publication statusPublished - 2020
EventThe International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020) - The Education University of Hong Kong, Tai Po, Hong Kong
Duration: 9 Nov 202011 Nov 2020
https://www.eduhk.hk/eai/index.html
https://www.eduhk.hk/eai/

Conference

ConferenceThe International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020)
Abbreviated titleICEAI 2020
Country/TerritoryHong Kong
CityTai Po
Period9/11/2011/11/20
Internet address

Keywords

  • emotion
  • collaborative learning
  • research topics
  • research evolution
  • scientific collaboration
  • structural topic modeling

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