Return
Deceptive Overgeneralization: When Adaptive Learning Enables Systematic Misapplication
DOI:10.1002/jcal.70311.png)
Abstract
En 中文
Adaptive learning systems infer mastery from observed correctness, but this approach may fall short when learners exhibit ‘deceptive overgeneralization’—performing correct actions based on incomplete understanding. This phenomenon can mislead systems into prematurely stopping practice, leaving knowledge gaps unaddressed. Clarifying when deceptive overgeneralization occurs and how to address it can improve the precision of adaptive learning technologies.
Keywords:
adaptive learning
bayesian knowledge tracing
deceptive overgeneralization
intelligent tutoring systems
mastery learning
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
J
IF:
4.6
Papers:
181
Citations:
0

