Researchers utilized the Apriori algorithm to analyze interaction logs from a mathematics tutoring system, identifying behavioral patterns associated with learned helplessness. The study found that skipping problems without using hints was a frequent indicator of unsolved outcomes, while persistence was linked to solved problems. Differences emerged based on learned helplessness levels and the presence of system interventions, with high-helplessness students showing more avoidance behaviors. AI
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IMPACT Provides insights into student behavior in AI-powered educational tools, potentially informing future system design.
RANK_REASON Academic paper published on arXiv detailing an analysis of learned helplessness in a math tutoring system.