arXiv Machine Learning July 30, 2026 By Benjamin Mawdsley, Tom Quilter, Richard Turner, Sarah Jackson, Paul Edwards

Archetypes or ability? Clustering for modelling student mathematical competence

Read the original on arXiv Machine Learning →

arXiv:2607. 26063v1 Announce Type: cross Abstract: Personalised learning systems often assume that mathematical ability is combined of discrete abilities, acquired sequentially and dependent upon first acquiring foundational abilities, and students often report different strengths.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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llms fine-tuning

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Study-Strategy Clusters from EdNet Logs Track Engagement, Not Mastery

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