Cited By
View all- Herbert N(2017)Impact of Student Engagement on First Year ICT Performance2017 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI.2017.189(1085-1090)Online publication date: Dec-2017
Motivation, Optimal Experience and Flow in First Year Computing Science
Pages 206 - 211
Abstract
We examine the concept of motivation from the perspective of Self Determination Theory and give a brief overview of relevant results. We also consider the optimal state known as "Flow" and give an account of its conceptualisation in the theory due to Csikszentmihalyi. After discussion of ways in which these concepts can be measured, we describe a set of preliminary studies that investigate motivation and flow in the context of a first year computing class. We analyse student responses to enquiries about perceptions of motivation and flow experiences and look at links between them. We also discuss intrinsic motivation within the subject.
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Index Terms
- Motivation, Optimal Experience and Flow in First Year Computing Science
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Published In
July 2016
394 pages
ISBN:9781450342315
DOI:10.1145/2899415
- General Chairs:
- Alison Clear,
- Ernesto Cuadros-Vargas,
- Program Chairs:
- Janet Carter,
- Yvan Tupac
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- Bilkent University: Bilkent University
- SIGCSE: ACM Special Interest Group on Computer Science Education
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New York, NY, United States
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Published: 11 July 2016
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ITiCSE '16
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- Bilkent University
- SIGCSE
ITiCSE '16: Innovation and Technology in Computer Science Education Conference 2016
July 11 - 13, 2016
Arequipa, Peru
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ITiCSE '16 Paper Acceptance Rate 56 of 147 submissions, 38%;
Overall Acceptance Rate 552 of 1,613 submissions, 34%
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View all- Herbert N(2017)Impact of Student Engagement on First Year ICT Performance2017 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI.2017.189(1085-1090)Online publication date: Dec-2017
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