Evaluating students emotional response in augmented reality-based learning using kansei engineering
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| Format: | Thesis |
| Language: | English |
| Published: |
2018
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| Online Access: | https://ir.upsi.edu.my/detailsg.php?det=3709 |
| Abstract | Abstract here |
| _version_ | 1855625738518003712 |
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| author | An-Nuratiqah Khairuddin |
| author_facet | An-Nuratiqah Khairuddin |
| author_sort | An-Nuratiqah Khairuddin |
| description | |
| format | Thesis |
| id | upsi-3709 |
| institution | Universiti Pendidikan Sultan Idris |
| language | English |
| publishDate | 2018 |
| record_format | sWADAH |
| record_pdf | Restricted |
| spelling | upsi-37092020-02-27 Evaluating students emotional response in augmented reality-based learning using kansei engineering 2018 An-Nuratiqah Khairuddin QA76 Computer software Augmented reality (AR) is believed to be the next wave of online learning. New user experiences become possible to afford AR capabilities with the advent of powerful smartphones. Mostly, studies related to the use of augmented reality in education focus on cognition with little consideration is given to emotions which is important in learning. Therefore, this research aims to identify salient connections between emotions and design elements of augmented reality-based online learning material by applying Kansei Engineering (KE) approach. In this research, mobile augmented reality application related to the human heart was prepared to be used as a case for the study. Seven specimens of the mobile augmented reality application were evaluated with 55 emotions of Kansei Words (KW). 28 students from one of the public universities performed the experiment evaluation . The gathered data were then analyzed using Factor Analysis, Principal Component Analysis and Partial Least Squares analysis. The results revealed the important pillars of emotions or kansei semantic space emotions for augmented reality-based online learning materials. Based on Factor Analysis, it revealed four main pillars; professional-motivated, confused, wandering-thrilled and one additional pillar; trustable. Besides that, this research described design elements of augmented reality-based online learning material that might evoke specific emotions based on five identified pillars. Ultimately, this research is an attempt to guide the design with affective formula during preparation of augmented reality online learning materials in the future. 2018 thesis https://ir.upsi.edu.my/detailsg.php?det=3709 https://ir.upsi.edu.my/detailsg.php?det=3709 text eng N/A openAccess Masters Universiti Pendidikan Sultan Idris Fakulti Seni, Komputeran dan Industri Kreatif N/A |
| spellingShingle | QA76 Computer software An-Nuratiqah Khairuddin Evaluating students emotional response in augmented reality-based learning using kansei engineering |
| thesis_level | Master |
| title | Evaluating students emotional response in augmented reality-based learning using kansei engineering |
| title_full | Evaluating students emotional response in augmented reality-based learning using kansei engineering |
| title_fullStr | Evaluating students emotional response in augmented reality-based learning using kansei engineering |
| title_full_unstemmed | Evaluating students emotional response in augmented reality-based learning using kansei engineering |
| title_short | Evaluating students emotional response in augmented reality-based learning using kansei engineering |
| title_sort | evaluating students emotional response in augmented reality based learning using kansei engineering |
| topic | QA76 Computer software |
| url | https://ir.upsi.edu.my/detailsg.php?det=3709 |
| work_keys_str_mv | AT annuratiqahkhairuddin evaluatingstudentsemotionalresponseinaugmentedrealitybasedlearningusingkanseiengineering |