@inproceedings{10c1e7db4fd244c1843bafc60c0af45f,
title = "An Exploratory Study on Student Engagement with Adaptive Notifications in Programming Courses",
abstract = "This paper presents a study on students{\textquoteright} 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{\textquoteright} engagement with the notifications and resources were tracked and have been found to be an indicator of their differential improvement between their exams.",
keywords = "Computer science education, Engagement, Learning analytics, Personalized notification, Predictive model",
author = "David Azcona and Ihan Hsiao and Alan Smeaton",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 13th European Conference on Technology Enhanced Learning, EC-TEL 2018 ; Conference date: 03-09-2018 Through 06-09-2018",
year = "2018",
doi = "10.1007/978-3-319-98572-5_64",
language = "English (US)",
isbn = "9783319985718",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "644--647",
editor = "Raymond Elferink and Hendrik Drachsler and Viktoria Pammer-Schindler and Mar Perez-Sanagustin and Maren Scheffel",
booktitle = "Lifelong Technology-Enhanced Learning - 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Proceedings",
}