Using access log data to predict failure-prone students in Moodle using a small dataset
In this paper, the authors present a predictive model for failure-prone students using access log data from two small datasets in the Moodle learning system. Although various advanced machine learning algorithms, especially supervised predictive methods, can be used with very large datasets, these t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
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| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2021/13/shsconf_etltc2021_04001.pdf |