Enhancing adaptive learning with Moodle's machine learning

Authors

DOI:

https://doi.org/10.31812/ed.625

Keywords:

Moodle, machine learning, adaptive learning, personalized education, learning analytics, education technology

Abstract

This review explores how Moodle's machine learning capabilities enhance adaptive learning. We analyze five studies using Moodle for predictive and prescriptive support in education. These studies cover topics like learner classification, early risk detection, predictor comparison, reliability analysis, and custom indicators. We extract key findings, and address challenges while suggesting future research directions. This review offers insights for educators and researchers aiming to personalize education with Moodle.

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References

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Published

09-12-2021

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Section

Articles

How to Cite

Fadieieva, L.O., 2021. Enhancing adaptive learning with Moodle’s machine learning. Educational Dimension [Online], 5, pp.1–7. Available from: https://doi.org/10.31812/ed.625 [Accessed 9 December 2024].
Received 2021-10-25
Accepted 2021-12-04
Published 2021-12-09

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