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Predicting Student Performance in a Collaborative Learning Environment
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Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Predicting Student Performance in a Collaborative Learning Environment
PDF on ERIC Download full text
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Results from the Analyses of Title I Project Vector Data.
Kaskowitz, David H.; Klibanoff, Leonard S. – 1982
Since July 1978, RMC Research Corporation has been conducting a study concerned with several aspects of the Title I Evaluation and Reporting System (TIERS). Phases I and II included examination of technical and procedural issues, development of system materials, and assessment of state evaluation reports. Phase III was intended to be an…
Descriptors: Achievement Gains, Data Analysis, Data Processing, Elementary Secondary Education