Moodle Learning Analytics

Learning Analytics is "the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs"¹. In our current "age of AI", sophisticated Machine Learning models are implemented as part of Learning Analytics systems. Moodle implements a Learning Analytics system, that allows administrators to use and design predictive models². Moodle ships with one untrained Linear Regression model for predicting students at risk of dropping out of a course².

More Information

• Moodle Learning Analytics: What are Moodle Learning Analytics and how can I use them?
• Moodle's Analytics Subsystem: How are Moodle Learning Analytics implemented, technically?
• Moodle's LA model for predicting students at risk of dropping out: What are properties, functionalities and limitations of Moodle's model for predicting students at risk of dropping out?

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<sup>1. Siemens, G. (2011) Learning and Academic Analytics. Available at: https://web.archive.org/web/20110810005338/https://learninganalytics.net/?p=131. ↩
2. Monllaó Olivé, D., Huynh, D. Q., Reynolds, M., Dougiamas, M., & Wiese, D. (2018). A supervised learning framework for learning management systems. Proceedings of the First International Conference on Data Science, E-Learning and Information Systems, 1–8. https://doi.org/10.1145/3279996.3280014. ↩</sup>