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.
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CITATION STYLE
Azcona, D., Hsiao, I. H., & Smeaton, A. (2018). An Exploratory Study on Student Engagement with Adaptive Notifications in Programming Courses. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11082 LNCS, pp. 644–647). Springer Verlag. https://doi.org/10.1007/978-3-319-98572-5_64
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