Kansei semantic space for emotion in online learning

Fauziah Redzuan, Anitawati Mohd Lokman, Zulaiha Ali Othman

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

12 Citations (Scopus)

Abstract

Even though cognition is heavily emphasized in the learning world, but quite recently there has been a spurred interest to study the emotion of the learners, as the previous researchers unveil that emotion is as important as cognition in learning traditionally or online. This paper discusses mainly about the first finding out of four findings expected from this research. The aim of this research is mainly to identify the design elements of the online learning materials that connect to a specific emotion. Kansei Engineering (KE) is being performed as the methodology for this research. In this research, 16 online learning materials specifically for the Database course were evaluated with 55 emotions selected based on the findings from previous studies conducted for this research. 48 respondents from one of the public institution of higher learning in Malaysia performed the evaluation. The finding as discuss in this paper reveals the important pillars of emotions or kansei semantic space of emotions for online learning materials. Based on Factor Analysis, it reveals 4 important pillars and 1 additional pillar for kansei emotions in online learning. In addition, the paper also discusses the possibility of the important design that might evoke certain emotions based on the first two pillars that are engaged-motivated and challenging-thinking.

Original languageEnglish
Title of host publicationProceedings - 2014 3rd International Conference on User Science and Engineering: Experience. Engineer. Engage, i-USEr 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages168-173
Number of pages6
ISBN (Print)9781479958122
DOIs
Publication statusPublished - 6 Jan 2015
Event2014 3rd International Conference on User Science and Engineering, i-USEr 2014 - Shah Alam, Selangor
Duration: 2 Sep 20145 Sep 2014

Other

Other2014 3rd International Conference on User Science and Engineering, i-USEr 2014
CityShah Alam, Selangor
Period2/9/145/9/14

Fingerprint

Semantics
Factor analysis

Keywords

  • e-learning
  • emotion
  • Kansei Engineering
  • online learning
  • semantic space

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software
  • Computer Networks and Communications

Cite this

Redzuan, F., Lokman, A. M., & Ali Othman, Z. (2015). Kansei semantic space for emotion in online learning. In Proceedings - 2014 3rd International Conference on User Science and Engineering: Experience. Engineer. Engage, i-USEr 2014 (pp. 168-173). [7002697] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IUSER.2014.7002697

Kansei semantic space for emotion in online learning. / Redzuan, Fauziah; Lokman, Anitawati Mohd; Ali Othman, Zulaiha.

Proceedings - 2014 3rd International Conference on User Science and Engineering: Experience. Engineer. Engage, i-USEr 2014. Institute of Electrical and Electronics Engineers Inc., 2015. p. 168-173 7002697.

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

Redzuan, F, Lokman, AM & Ali Othman, Z 2015, Kansei semantic space for emotion in online learning. in Proceedings - 2014 3rd International Conference on User Science and Engineering: Experience. Engineer. Engage, i-USEr 2014., 7002697, Institute of Electrical and Electronics Engineers Inc., pp. 168-173, 2014 3rd International Conference on User Science and Engineering, i-USEr 2014, Shah Alam, Selangor, 2/9/14. https://doi.org/10.1109/IUSER.2014.7002697
Redzuan F, Lokman AM, Ali Othman Z. Kansei semantic space for emotion in online learning. In Proceedings - 2014 3rd International Conference on User Science and Engineering: Experience. Engineer. Engage, i-USEr 2014. Institute of Electrical and Electronics Engineers Inc. 2015. p. 168-173. 7002697 https://doi.org/10.1109/IUSER.2014.7002697
Redzuan, Fauziah ; Lokman, Anitawati Mohd ; Ali Othman, Zulaiha. / Kansei semantic space for emotion in online learning. Proceedings - 2014 3rd International Conference on User Science and Engineering: Experience. Engineer. Engage, i-USEr 2014. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 168-173
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