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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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Sandholtz, Judith Haymore; Shea, Lauren M. – Journal of Teacher Education, 2012
The implementation of teaching performance assessments has prompted a range of concerns. Some educators question whether these assessments provide information beyond what university supervisors gain through their formative evaluations and classroom observations of candidates. This research examines the relationship between supervisors' predictions…
Descriptors: Performance Based Assessment, Prediction, Supervisors, Teacher Supervision
Pascopella, Angela – District Administration, 2012
Predicting the future is now in the hands of K12 administrators. While for years districts have collected thousands of pieces of student data, educators have been using them only for data-driven decision-making or formative assessments, which give a "rear-view" perspective only. Now, using predictive analysis--the pulling together of data over…
Descriptors: Expertise, Prediction, Decision Making, Data
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Richards, Adam S. – Communication Education, 2012
This case study of the Department of Communication at the University of Maryland demonstrates the need to consider course sequencing in the communication curriculum. The investigation assessed whether the order in which undergraduates took courses predicted grade performance. Students' (N = 6,166) grade data from earlier courses were used to…
Descriptors: Program Effectiveness, Introductory Courses, Curriculum Development, Social Sciences
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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
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
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Algozzine, Bob; Ysseldyke, James E. – Journal of Educational Research, 1980
Teachers' and psychologists' ratings of children's potential performance in reading and mathematics are influenced by selected information in referral statements read prior to having objective test scores or rating scales for evaluation. (JMF)
Descriptors: Academic Records, Achievement Rating, Decision Making, Expectation
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Stronck, David R. – Nursing Outlook, 1979
Examines the value of various types of college admission criteria and states that the most accurate predictors of future academic performance used to interpret grades earned at other institutions are the grade point average in previous courses and entrance achievement tests. Interviews and recommendation letters are of little value. (MF)
Descriptors: Academic Achievement, Academic Records, Admission Criteria, College Admission
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