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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
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
Bulcock, Jeffrey W. – 1981
The use of two-stage least squares (2SLS) for the estimation of feedback linkages is inappropriate for nonorthogonal data sets because 2SLS is extremely sensitive to multicollinearity. It is argued that what is needed is use of a different estimating criterion than the least squares criterion. Theoretically the variance normalization criterion has…
Descriptors: Comparative Analysis, Elementary Education, Error of Measurement, Grade 4
Power, Michael A.; White, Thomas G. – 1985
To determine if measures of the frequency of English root words can serve as reliable predictors of knowledge of those words, a 98-item multiple choice vocabulary test, in which all of the items were English root words, was administered to 46 third graders and 45 fourth graders. The percentage of correct responses for the words was correlated with…
Descriptors: Elementary Education, Grade 3, Grade 4, Morphology (Languages)
Leicht, David J.; And Others – 1984
Path analysis was used to discover predictors of personality, school conduct, and distractibility-hyperactivity problems in this 4-year longitudinal study of 173 rural children. While previous studies had shown that children's behavior disorders are related to sex of child, family disruption, IQ, Bender-Gestalt Test scores, and socioeconomic…
Descriptors: Elementary Education, Elementary School Students, Family Problems, Grade 1