Mastery learning implementation causes a mastery attrition bias that confounds learning curves, and it cannot be addressed universally¶

Claim · All claims
Evidence · 1 study · theoretical r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Mastery attrition bias, caused by implementing mastery learning, confounds learning curves; partial alleviation methods exist, but the bias's impact depends on the specific implementation and cannot be addressed universally. → Pelánek 2025

Evidence¶

Pelánek 2025¶

Pelánek, R. (2025). Adaptive Learning is Hard: Challenges, Nuances, and Trade-offs in Modeling. Int J Artif Intell Educ. https://doi.org/10.1007/s40593-024-00400-6

q2 · i? · theoretical · r2

Analysis in the Attrition Bias section: the article names the "mastery attrition bias" caused by mastery learning and reports that researchers have shown it confounds learning curves, with partial remedies such as disaggregation of learning curves or mastery-aligned models.

"A specific instance is the mastery attrition bias, which is caused by the implementation of mastery learning (Pelánek, 2018b). Researchers have illustrated how this bias confounds learning curves"

Discussion¶

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