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This study investigates whether error rate or assistance score is a better predictor of performance in a cognitive tutor. Logistic regression using LFA preliminary analysis determines the assistance score as the predictor. Deeply aggregated data shows that both error rate and assistance score are good predictors (p<.001). However, incomplete case analysis due to hurdles such as data scrubbing, software issues, and insufficient memory.
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Searching for Patterns: Sean Early PSLC Summer School 2007 Question: Which is a better predictor of performance in a cognitive tutor, error rate or assistance score? Method: Logistic Regression using LFA preliminary analysis to determine assistance score Outcome: Deeply aggregated data shows that both are good predictors (p<.001); Complete case analysis incomplete due to hurdles [data scrubbing, software, insufficient memory]