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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
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Cratty, Dorothyjean – Economics of Education Review, 2012
Nineteen percent of 1997-98 North Carolina 3rd graders were observed to drop out of high school. A series of logits predict probabilities of dropping out on determinants such as math and reading test scores, absenteeism, suspension, and retention, at the following grade levels: 3rd, 5th, 8th, and 9th. The same cohort and variables are used to…
Descriptors: At Risk Students, Dropouts, High School Students, Probability
Gullie, Kathy A. – ProQuest LLC, 2011
This study investigated the predictive ability of students' responses to open-ended, constructed/extended questions in third and fourth grade mathematics content subcategories on subsequent fifth grade mathematics achievement proficiency levels. Open-ended, extended/constructed response questions reflected content as outlined by the National…
Descriptors: Mathematics Curriculum, Instructional Design, Mathematics Education, Formative Evaluation
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Fuchs, Douglas; Compton, Donald L.; Fuchs, Lynn S.; Bryant, V. Joan; Hamlett, Carol L.; Lambert, Warren – Journal of Learning Disabilities, 2012
In a sample of 195 first graders selected for poor reading performance, the authors explored four cognitive predictors of later reading comprehension and reading disability (RD) status. In fall of first grade, the authors measured the children's phonological processing, rapid automatized naming (RAN), oral language comprehension, and nonverbal…
Descriptors: Reading Comprehension, Reading Difficulties, Oral Language, Grade 5
Froman, Terry; Rubiera, Vilma – Research Services, Miami-Dade County Public Schools, 2007
Although students have been taking the Florida Comprehensive Assessment Test (FCAT) Science test for a few years, the State included the performance on the Science test in the school grade calculations for the first time in 2006-07. Although no official guidelines exist presently, the Science scores may also be incorporated in the NCLB Adequately…
Descriptors: Prediction, Science Tests, Mathematics Tests, Mathematics Achievement
Ikegulu, T. Nelson – Online Submission, 2004
Background: The overall goal of the No Child Left Behind Act (NCLB) of 2001 is to close, by the end of the 2013-2014 academic year, "the achievement gap between high- and low- performing students, especially the achievement gap between minority and non-minority students and, between disadvantaged children and their more advantaged peers"…
Descriptors: High Schools, Ethnicity, Middle Schools, Equal Education