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Jensen, Emily; Hutt, Stephen; D'Mello, Sidney K. – Grantee Submission, 2019
Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…
Descriptors: Generalization, Longitudinal Studies, Psychological Patterns, Identification
Peer reviewed Peer reviewed
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Jensen, Emily; Hutt, Stephen; D'Mello, Sidney K. – International Educational Data Mining Society, 2019
Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…
Descriptors: Generalization, Longitudinal Studies, Psychological Patterns, Identification
Hills, John R.; And Others – 1985
This study investigated the feasibility of using the three-parameter model in Florida's minimum competency testing program. LOGIST 4 was used to analyze 1984 Statewide Student Assessment Tests (SSAT)-II data, exploring possibilities that easiness of the test would cause problems in the estimation of the a and c parameters. These problems and…
Descriptors: Elementary Secondary Education, Equated Scores, Feasibility Studies, Goodness of Fit