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Kansei evaluation in open source elearning system
Hadiana, Ana1, Anitawati Mohd Lokman2.
Many open source web based e-Learning systems are offered to support learning environment over the internet. Academic
institutions usually choose to implement systems that meet the needs and characteristics of students. However, only little
guide exists to support them in choosing systems that meet the implicit needs of students, thus adoption of e-Learning system
is unsustainable. This paper reports an attempt to discover these implicit needs and how it correlates to the design of eLearning
systems by the adoption of Kansei Engineering. The objective is to analyze and choose the desired open source eLearning
system based on students’ implicit needs. Five open source e-Learning system were used as specimen in a Kansei
evaluation procedure, employing one hundred subjects from the target user group. The result suggests that Kansei
Engineering can be used to determine open source e-Learning systems that meets the implicit needs of targeted users, and
thus enable sustainability of the system implementation.
Affiliation:
- Lembaga Ilmu Pengetahuan Indonesia, Indonesia
- Universiti Teknologi MARA, Malaysia
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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6 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
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CiteScore (1.4) |
Rank |
Q3 (Engineering (all)) |
Additional Information |
SJR (0.191) |
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