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Cohen, Richard; Kelly, Angela M. – Review of Higher Education, 2019
This study explored science, mathematics, and general academic factors that predicted outcomes for community college students (N = 3052) in a regional institution. A binary logistic regression was performed to determine significant independent variables contributing to successful outcomes (graduation or transfer) vs. non-completion. Transcript…
Descriptors: Community Colleges, Mathematics Instruction, Remedial Instruction, Prediction
Brown, S. J.; White, S.; Power, N. – Advances in Physiology Education, 2017
Using an educational data mining approach, first-year academic achievement of undergraduate nursing students, which included two compulsory courses in introductory human anatomy and physiology, was compared with achievement in a final semester course that transitioned students into the workplace. We hypothesized that students could be grouped…
Descriptors: Introductory Courses, Anatomy, Nursing Education, Physiology
Alkin-Sahin, Senar – Eurasian Journal of Educational Research, 2015
Problem Statement: Based on information presented in previous literature, that the characteristics of learning environments foster metacognition and thinking, it is believed that metacognitive oriented classrooms can contribute to the formation of environments needed to teach thinking, and when metacognitive oriented learning environment…
Descriptors: Foreign Countries, Metacognition, Prediction, Correlation
Bol, Linda; Hacker, Douglas J.; Walck, Camilla C.; Nunnery, John A. – Contemporary Educational Psychology, 2012
A 2 x 2 factorial design was employed in a quasi-experiment to investigate the effects of guidelines in group or individual settings on the calibration accuracy and achievement of 82 high school biology students. Significant main effects indicated that calibration practice with guidelines and practice in group settings increased prediction and…
Descriptors: Biology, Guidelines, High School Students, Science Education
Bone, Elisa K.; Reid, Robert J. – Higher Education Research and Development, 2011
Students in their first year of university face a number of transition issues that can make realising their academic potential difficult. In the sciences, first-year courses cover a large amount of material across broad subject areas, which can make them troublesome for students without background knowledge, and students need to adapt to typically…
Descriptors: High Schools, Prior Learning, Chemistry, Course Content
Bridgeman, Brent; Pollack, Judith; Burton, Nancy – College Board, 2008
The ability of high school grades (grade point average) and SAT® scores to predict cumulative grades in different types of college courses was evaluated in a sample of 26 colleges. Appended are: (1) Sample Sizes, Means, and Standard Deviations for Subgroups Defined by Gender, Race/Ethnicity, and Course Type; and (2) Prediction of Cumulative GPA by…
Descriptors: College Entrance Examinations, Standardized Tests, Grade Point Average, High School Students
Vincent, Harold A.; And Others – 1986
Variables to predict grades in a noncalculus, preprofessional college physics course at Xavier University of Louisiana, a historically-black institution, were identified using linear regression. The two-semester, noncalculus physics course emphasizes the application of physics in the health professions. The study population consisted of 123…
Descriptors: Aptitude Tests, Black Students, College Science, College Students
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Kevin, Richard C.; Liberty, Paul G., Jr. – 1975
Students enrolled in an organic chemistry course were given a diagnostic inventory according to the SCRAPE model. Information was obtained on 11 motivational personality variable and three attitudinal variables for students in both computer-based instruction and regular instruction sections. Descriptive statistics were obtained on each instrument…
Descriptors: Academic Achievement, Academic Aptitude, Attitude Measures, Chemistry

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