Prickett, T., Walters, J., Yang, L. et al. (2 more authors) (2020) Effective learning and resilience in first year undergraduate computer science. In: Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education. 25th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE), 15-19 Jun 2020, Trondheim, Norway. Association for Computing Machinery (ACM) , New York, NY, United States , pp. 19-25. ISBN 9781450368742
Abstract
Many factors have been shown to be important for maintaining effective learning and achieving success in higher education; more specifically in Computer Science. While factors such as existing student competencies and abilities have been extensively explored, the impact of measures of positive psychology are less well understood in this context. University study can be a period of significant transition for all students, therefore an individual's positive psychology may have considerable impact upon their response to these challenges. This work investigates the relationships between effective learning and success (first year performance and attendance) and two measures of positive psychology: Grit and the Nicolson McBride Resilience Quotient (NMRQ).
Data was captured by integrating Grit and Resilience questionnaires and related coaching into the first year of computer science at a UK University. Analyses demonstrate that NMRQ is significantly linked to attendance and performance for individual subjects and year average marks, however, this is not so for grit. This suggests that further development of interventions to help support students in further developing their resilience could be productive. Resilience could be used, in concert with other factors, to augment a range of existing models to predict future student success, permitting targeted support.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Association for Computing Machinery. This is an author-produced version of a paper subsequently published in ITiCSE: Innovation and Technology in Computer Science Education. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Effective Learning; Resilience; Attendance; Learning Analytics |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Mar 2020 07:09 |
Last Modified: | 21 Jun 2023 13:47 |
Status: | Published |
Publisher: | Association for Computing Machinery (ACM) |
Refereed: | Yes |
Identification Number: | 10.1145/3341525.3387372 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:158280 |