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An exploratory study on student engagement with adaptive notifications in programming courses

Azcona, David orcid logoORCID: 0000-0003-3693-7906, Hsiao, I-Han orcid logoORCID: 0000-0002-1888-3951 and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2018) An exploratory study on student engagement with adaptive notifications in programming courses. In: European Conference on Technology Enhanced Learning (EC-TEL’18), 3-6 Sept 2018, Leeds, UK. ISBN 9783319985718

Abstract
This paper presents a study on students’ engagement and personalized weekly performance notifications. Students were offered to voluntarily opt-in to receive customized notifications regarding their predicted course performances and recommended resources. In addition, the predicted at-risk students were also recommended with code solutions from higher performers in the class. Data was collected from Computer Science programming courses. Students’ engagement with the notifications and resources were tracked and have been found to be an indicator of their differential improvement between their exams.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:No
Subjects:Computer Science > Artificial intelligence
Computer Science > Machine learning
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Published in: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018. Lecture Notes in Computer Science 11082. Springer Verlag. ISBN 9783319985718
Publisher:Springer Verlag
Official URL:http://dx.doi.org/10.1007/978-3-319-98572-5_64
Copyright Information:© 2017 Springer
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Irish Research Council under project number GOIPG/2015/3497, Science Foundation Ireland 12/RC/2289, Fulbright Ireland
ID Code:22955
Deposited On:28 Jan 2019 11:26 by David Azcona . Last Modified 28 Jan 2019 11:26
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