A comparative analysis of emotional words for learning effectiveness in online education

Jaechoon Jo, Yeongwook Yang, Gyeongmin Kim, Heuiseok Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To overcome space and time limits in education environment, online education is becoming increasingly crucial. Most online education is based on video lectures. Video-based lectures are delivered to the learner through the language of the instructor. Hence, the language (word) of the instructor affects learners during the video discourse. In this study, we examined the effectiveness between emotional (positive and negative) and nonemotional (neutral) words for learning effectiveness on online education based on video lectures. The results indicated that learners remember emotional words better than non-emotional ones. If educational content based on video lectures is implemented using emotional words, then it will improve the learning effectiveness in online education through video lectures.

Original languageEnglish
Title of host publicationEDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining
EditorsCollin F. Lynch, Agathe Merceron, Michel Desmarais, Roger Nkambou
PublisherInternational Educational Data Mining Society
Pages591-594
Number of pages4
ISBN (Electronic)9781733673600
Publication statusPublished - 2019
Event12th International Conference on Educational Data Mining, EDM 2019 - Montreal, Canada
Duration: 2019 Jul 22019 Jul 5

Publication series

NameEDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining

Conference

Conference12th International Conference on Educational Data Mining, EDM 2019
Country/TerritoryCanada
CityMontreal
Period19/7/219/7/5

Keywords

  • Gamification
  • Online education
  • Short-term memory
  • Video lecture

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications

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