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Predicting Post-Test Performance from Online Student Behavior: A High School MOOC Case Study
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Tomkins, Sabina; Ramesh, Arti; Getoor, Lise – International Educational Data Mining Society, 2016
With the success and proliferation of Massive Open Online Courses (MOOCs) for college curricula, there is demand for adapting this modern mode of education for high school courses. Online and open courses have the potential to fill a much needed gap in high school curricula, especially in fields such as computer science, where there is shortage of…
Descriptors: Prediction, Pretests Posttests, Electronic Learning, Student Behavior
An Analysis of the Relationship between School-Level AP® Professional Development Activity and Subsequent Student AP Performance. Research Report No. 2012-8
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Laitusis, Vytas – College Board, 2012
The overarching purpose behind this evaluation was to gauge the impact of AP professional development (PD) on AP student outcomes in a state with a significant rate of PD implementation. The evaluation attempted to predict the level of student AP performance by the number of AP professional development events attended by teachers in that school in…
Descriptors: Advanced Placement Programs, Faculty Development, Academic Achievement, Prediction
An Analysis of the Relationship between School-Level AP® Professional Development Activity and Subsequent Student AP Performance. Info to Go™ 2012-8
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Laitusis, Vytas – College Board, 2012
The overarching purpose behind this evaluation was to gauge the impact of AP® professional development (PD) on AP student outcomes in a state with a significant rate of PD implementation. The evaluation attempted to predict the level of student AP performance by the number of AP professional development events attended by teachers in that school…
Descriptors: Advanced Placement Programs, Faculty Development, Academic Achievement, Prediction
Early Identification of Students Predicted to Enroll in Advanced, Upper-Level High School Courses: An Examination of Validity
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DeRose, Diego S.; Clement, Russell W. – ERS Spectrum, 2011
Broward County Public Schools' Research Services department uses logistic regression analysis to compute an indicator to predict student enrollment in advanced high school courses, for students entering ninth grade for the first time. This prediction indicator, along with other student characteristics, supports high school guidance staffs in…
Descriptors: Identification, Prediction, Enrollment, Public Schools