Simulation grounded in data from 261 students shows substantial variability in mastery learning efficiency across task-selection strategies, with targeted system constraints reducing overpractice for maladaptive strategies.
Ai in education, learner control, and human-ai collaboration.International Journal of Ar- tificial Intelligence in Education, 34(1):122–135
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Simulating Learners' Task-Selection Strategies and System Constraints in Mastery Learning
Simulation grounded in data from 261 students shows substantial variability in mastery learning efficiency across task-selection strategies, with targeted system constraints reducing overpractice for maladaptive strategies.