An Exploratory Study on Student Engagement with Adaptive Notifications in Programming Courses

David Azcona, Ihan Hsiao, Alan Smeaton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationLifelong Technology-Enhanced Learning - 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Proceedings
EditorsRaymond Elferink, Hendrik Drachsler, Viktoria Pammer-Schindler, Mar Perez-Sanagustin, Maren Scheffel
PublisherSpringer Verlag
Pages644-647
Number of pages4
ISBN (Print)9783319985718
DOIs
StatePublished - 2018
Event13th European Conference on Technology Enhanced Learning, EC-TEL 2018 - Leeds, United Kingdom
Duration: Sep 3 2018Sep 6 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11082 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th European Conference on Technology Enhanced Learning, EC-TEL 2018
CountryUnited Kingdom
CityLeeds
Period9/3/189/6/18

Keywords

  • Computer science education
  • Engagement
  • Learning analytics
  • Personalized notification
  • Predictive model

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Azcona, D., Hsiao, I., & Smeaton, A. (2018). An Exploratory Study on Student Engagement with Adaptive Notifications in Programming Courses. In R. Elferink, H. Drachsler, V. Pammer-Schindler, M. Perez-Sanagustin, & M. Scheffel (Eds.), Lifelong Technology-Enhanced Learning - 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Proceedings (pp. 644-647). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11082 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-98572-5_64