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Edit, Run, Error, Repeat: Learning Analytics to Find Struggling Students in Upper Secondary Programming Classes

Published:29 June 2023Publication History

ABSTRACT

This dissertation research explores the potential of using learning analytics to improve programming education. The research goals include replicating previous research through studying heterogeneous groups of students at upper secondary schools over several months. The expected contribution of this dissertation is to provide insights into how learning analytics can identify struggling students.

References

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      • Published in

        cover image ACM Conferences
        ITiCSE 2023: Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2
        June 2023
        694 pages
        ISBN:9798400701399
        DOI:10.1145/3587103

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        • Published: 29 June 2023

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