Inproceedings,

Adaptive Navigational Support and Explainable Recommendations in a Personalized Programming Practice System

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Proceedings of the 34th ACM Conference on Hypertext and Social Media, page 1-9. ACM, (September 2023)
DOI: 10.1145/3603163.3609054

Abstract

We present the results of a study where we provided students with textual explanations for learning content recommendations along with adaptive navigational support, in the context of a personalized system for practicing Java programming. We evaluated how varying the modality of access (no access vs. on-mouseover vs. on-click) can influence how students interact with the learning platform and work with both recommended and non-recommended content. We found that the persistence of students when solving recommended coding problems is correlated with their learning gain and that specific student-engagement metrics can be supported by the design of adequate navigational support and access to recommendations' explanations.

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