Kansei based interface design analysis of open source e-Learning system for high education

Abstract

Open source e-Learning system is an alternative learning environment in high education to support conventional learning to be more efficient. Most of e-Learning systems are multi platform systems over intranet/internet. High education institutions such as universities have to implement such system to support learning process. E-Learning system has to be suitable with the needs and characteristics of students in order to be sustainable for long time. This paper attempts to explore the implicit needs of students related to open source e-Learning system, and adopt Kansei Engineering to explore appropriate open source e-Learning systems according to students emotion perspective. The goal of this research is to analyze the desired open source e-Learning system based on students implicit needs. Five open source e-Learning systems were used as specimens, eleven emotions as Kansei Words, and employing two hundred students as subjects/respondents in Kansei evaluation. The result shows that Kansei Engineering can be used to as alternative method to determine significant factors in choosing open source e-Learning systems.