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

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Lifelong Technology-Enhanced Learning (EC-TEL 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11082))

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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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References

  1. Azcona, D., Hsiao, I.-H., Smeaton, A.F.: PredictCS: personalizing programming learning by leveraging learning analytics. In: Companion Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK 2018), pp. 462–468 (2018)

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Author information

Authors and Affiliations

  1. Dublin City University, Glasnevin, Dublin 9, Ireland

    David Azcona & Alan Smeaton

  2. Arizona State University, Tempe, 85281, USA

    I-Han Hsiao

Authors
  1. David Azcona
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  2. I-Han Hsiao
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  3. Alan Smeaton
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Corresponding author

Correspondence to David Azcona .

Editor information

Editors and Affiliations

  1. Graz University of Technology, Graz, Austria

    Viktoria Pammer-Schindler

  2. Pontificia Universidad Católica de Chile, Providencia, Santiago de Chile, Chile

    Mar Pérez-Sanagustín

  3. DIPF | Leibniz Institute for Research and Information in Education, Frankfurt, Germany

    Hendrik Drachsler

  4. RayCom BV, Utrecht, Utrecht, The Netherlands

    Raymond Elferink

  5. Open University Netherlands, Heerlen, The Netherlands

    Maren Scheffel

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Azcona, D., Hsiao, IH., Smeaton, A. (2018). An Exploratory Study on Student Engagement with Adaptive Notifications in Programming Courses. In: Pammer-Schindler, V., Pérez-Sanagustín, M., Drachsler, H., Elferink, R., Scheffel, M. (eds) Lifelong Technology-Enhanced Learning. EC-TEL 2018. Lecture Notes in Computer Science(), vol 11082. Springer, Cham. https://doi.org/10.1007/978-3-319-98572-5_64

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  • DOI: https://doi.org/10.1007/978-3-319-98572-5_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98571-8

  • Online ISBN: 978-3-319-98572-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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