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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
Marnewick, Carl – Educational Studies, 2012
First-year students are still failing at an alarming rate. This is an international issue that universities face and there is currently no clear indication of the cause of the problem as universities move from being elite to providing mass education. This article examines the possible correlation between students' high school performance and…
Descriptors: Academic Achievement, Admission Criteria, Correlation, Mathematics Achievement
Wang, Xueli – Journal of Higher Education, 2012
This study examined factors associated with the upward transfer of baccalaureate aspirants beginning at community colleges. Based on data from the National Education Longitudinal Study of 1988 and the Postsecondary Education Transcript Study, a sequential logistic regression analysis was conducted to predict bachelor's degree-seeking community…
Descriptors: Community Colleges, Performance Factors, College Transfer Students, Longitudinal Studies
Freng, Scott; Webber, David; Blatter, Jamin; Wing, Ashley; Scott, Walter D. – Teaching of Psychology, 2011
Comprehension of statistics and research methods is crucial to understanding psychology as a science (APA, 2007). However, psychology majors sometimes approach methodology courses with derision or anxiety (Onwuegbuzie & Wilson, 2003; Rajecki, Appleby, Williams, Johnson, & Jeschke, 2005); consequently, students may postpone…
Descriptors: Majors (Students), Grade Point Average, Research Methodology, Academic Achievement
Speroni, Cecilia – National Center for Postsecondary Research, 2011
Advanced Placement (AP) and Dual Enrollment (DE) are two programs that allow high school students to earn college credits. The recent growth of these programs has been unprecedented. However, there is little evidence that compares how they fare in terms of improving college access and success. Using data from two cohorts of all high school…
Descriptors: Advanced Placement, College Credits, Dual Enrollment, High School Students
Soetrisno, Heru – 1975
A study of the U.S. Navy officer students who were registered in the Operations Research/System Analysis curriculum at the Naval Postgraduate School (NPS) in spring, 1974, was conducted using biographical data, the Strong Vocational Interest Blank, and the Graduate Record Examination to develop an equation predicting academic performance of U.S.…
Descriptors: Academic Achievement, Academic Records, Biographical Inventories, Grade Prediction
Nicholson, Everard – 1971
The Admission Index, created from high school counselor ratings of academic promise and motivation, is recommended to admission officers and college counselors as a variable as good or better than those traditionally used from the cognitive domain. This index was found not only to be substantially valid and consistent as an achievement motivation…
Descriptors: Academic Ability, Academic Achievement, Academic Records, Admission Criteria

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