Research of student motivation for online learning using ARCS model / Norhayati Abdul Razak
Motivation is the leading determinant of how student will do in their learning and their persistence to remain in the online learning. However the lack in the human interaction in online class an make their online experience feeling of isolation and disconnectedness with others. Hence this study aim...
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2016
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my-uitm-ir.639422023-08-25T09:28:36Z Research of student motivation for online learning using ARCS model / Norhayati Abdul Razak 2016 Abdul Razak, Norhayati Motivation is the leading determinant of how student will do in their learning and their persistence to remain in the online learning. However the lack in the human interaction in online class an make their online experience feeling of isolation and disconnectedness with others. Hence this study aim to investigate the motivational instrument of attention, relevance, confidence, and satisfaction (ARCS) in an online learning environment among undergraduate students from Faculty of Business in UiTM Puncak Alam. The research model is tested using a set of questionnaire survey within 140 participants. Convenient sampling technique is used to evaluate there liability and validity of the result. The SPSS Statistic method is used to validate the measurement and hypothesis. The finding support the validity of the four motivational elements in the ARCS model. The research result reveal that the motivation for the undergraduate of Faculty of Business students are moderate and it is recommended for future research to include the student population from different programme and different faculty. 2016 Thesis https://ir.uitm.edu.my/id/eprint/63942/ https://ir.uitm.edu.my/id/eprint/63942/1/63942.PDF text en public masters Universiti Teknologi Mara (UiTM) Faculty of Computer and Mathematical Sciences |
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Universiti Teknologi MARA |
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UiTM Institutional Repository |
| language |
English |
| description |
Motivation is the leading determinant of how student will do in their learning and their persistence to remain in the online learning. However the lack in the human interaction in online class an make their online experience feeling of isolation and disconnectedness with others. Hence this study aim to investigate the motivational instrument of attention, relevance, confidence, and satisfaction (ARCS) in an online learning environment among undergraduate students from Faculty of Business in UiTM Puncak Alam. The research model is tested using a set of questionnaire survey within 140 participants. Convenient sampling technique is used to evaluate there liability and validity of the result. The SPSS Statistic method is used to validate the measurement and hypothesis. The finding support the validity of the four motivational elements in the ARCS model. The research result reveal that the motivation for the undergraduate of Faculty of Business students are moderate and it is recommended for future research to include the student population from different programme and different faculty. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Abdul Razak, Norhayati |
| spellingShingle |
Abdul Razak, Norhayati Research of student motivation for online learning using ARCS model / Norhayati Abdul Razak |
| author_facet |
Abdul Razak, Norhayati |
| author_sort |
Abdul Razak, Norhayati |
| title |
Research of student motivation for online learning using ARCS model / Norhayati Abdul Razak |
| title_short |
Research of student motivation for online learning using ARCS model / Norhayati Abdul Razak |
| title_full |
Research of student motivation for online learning using ARCS model / Norhayati Abdul Razak |
| title_fullStr |
Research of student motivation for online learning using ARCS model / Norhayati Abdul Razak |
| title_full_unstemmed |
Research of student motivation for online learning using ARCS model / Norhayati Abdul Razak |
| title_sort |
research of student motivation for online learning using arcs model / norhayati abdul razak |
| granting_institution |
Universiti Teknologi Mara (UiTM) |
| granting_department |
Faculty of Computer and Mathematical Sciences |
| publishDate |
2016 |
| url |
https://ir.uitm.edu.my/id/eprint/63942/1/63942.PDF |
| _version_ |
1783735368322908160 |