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- W2783976263 abstract "Many mobile learning systems are developed to support learning environment over internet. Education institutions attempt to implement learning system in order to support their students by involving information technology into learning activity. However, there is difficulty how to select a learning system that meets the students' implicit needs such as psychological feeling. Without adoption of students' needs, implementation of learning system would be unsustainable. This paper shows an attempt to discover these implicit needs and how it relates to the design of mobile learning system by applying Kansei Engineering. The objective is to analyze and select one of the desired mobile learning system based on students' psychological feelings. This research used five mobile learning systems as specimens, fifteen Kansei Words, and involved one hundred students as participants. Implementing Analytical Hierarchy Process and Kansei Engineering, the research shows the result that there are two significant students' psychological feelings. Considering this result we are able to select a mobile learning system which has a suitable interface." @default.
- W2783976263 created "2018-01-26" @default.
- W2783976263 creator A5063419041 @default.
- W2783976263 date "2017-10-01" @default.
- W2783976263 modified "2023-09-24" @default.
- W2783976263 title "Interface modeling for mobile learning using kansei engineering and analytical hierarchy process" @default.
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- W2783976263 doi "https://doi.org/10.1109/ic3ina.2017.8251758" @default.
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