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 language | English |
|---|---|
| Title of host publication | Proceedings - 2014 3rd International Conference on User Science and Engineering: Experience. Engineer. Engage, i-USEr 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 168-173 |
| Number of pages | 6 |
| ISBN (Print) | 9781479958122 |
| DOIs | |
| Publication status | Published - 6 Jan 2015 |
| Event | 2014 3rd International Conference on User Science and Engineering, i-USEr 2014 - Shah Alam, Selangor Duration: 2 Sep 2014 → 5 Sep 2014 |
Other
| Other | 2014 3rd International Conference on User Science and Engineering, i-USEr 2014 |
|---|---|
| City | Shah Alam, Selangor |
| Period | 2/9/14 → 5/9/14 |
Fingerprint
Keywords
- e-learning
- emotion
- Kansei Engineering
- online learning
- semantic space
ASJC Scopus subject areas
- Human-Computer Interaction
- Software
- Computer Networks and Communications
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - Kansei semantic space for emotion in online learning
AU - Redzuan, Fauziah
AU - Lokman, Anitawati Mohd
AU - Ali Othman, Zulaiha
PY - 2015/1/6
Y1 - 2015/1/6
N2 - 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.
AB - 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.
KW - e-learning
KW - emotion
KW - Kansei Engineering
KW - online learning
KW - semantic space
UR - http://www.scopus.com/inward/record.url?scp=84921750201&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84921750201&partnerID=8YFLogxK
U2 - 10.1109/IUSER.2014.7002697
DO - 10.1109/IUSER.2014.7002697
M3 - Conference contribution
AN - SCOPUS:84921750201
SN - 9781479958122
SP - 168
EP - 173
BT - Proceedings - 2014 3rd International Conference on User Science and Engineering: Experience. Engineer. Engage, i-USEr 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -