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Kayri, Murat – Educational Sciences: Theory and Practice, 2015
The objective of this study is twofold: (1) to investigate the factors that affect the success of university students by employing two artificial neural network methods (i.e., multilayer perceptron [MLP] and radial basis function [RBF]); and (2) to compare the effects of these methods on educational data in terms of predictive ability. The…
Descriptors: Artificial Intelligence, Influences, Academic Achievement, College Students
Williamson, Ben – Journal of Education Policy, 2016
Educational institutions and governing practices are increasingly augmented with digital database technologies that function as new kinds of policy instruments. This article surveys and maps the landscape of digital policy instrumentation in education and provides two detailed case studies of new digital data systems. The Learning Curve is a…
Descriptors: Visualization, Synchronous Communication, Governance, Data Collection
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
Kadhi, T.; Rudley, D.; Holley, D.; Krishna, K.; Ogolla, C.; Rene, E.; Green, T. – Online Submission, 2010
The following report of descriptive statistics addresses the attendance of the 2012 class and the average Actual and Predicted 1L Grade Point Averages (GPAs). Correlational and Inferential statistics are also run on the variables of Attendance (Y/N), Attendance Number of Times, Actual GPA, and Predictive GPA (Predictive GPA is defined as the Index…
Descriptors: Grade Point Average, Law Schools, Statistical Analysis, Databases
Mettler, James R. – ProQuest LLC, 2010
According to many higher education experts, merit scholarship screening methods discriminate against a disproportionate number of underrepresented minority (URM) students. The screening methods, however, favored individuals with the highest achievement test scores and above-average GPAs. The assumption in the common selection model is that test…
Descriptors: Academic Achievement, Competition, Achievement Tests, Merit Scholarships
Clawar, Harry J. – Meas Evaluation Guidance, 1969
Descriptors: Academic Achievement, Achievement, Aptitude, Comparative Analysis
Peer reviewedPanunto, Brenda; White, Donna – Alberta Journal of Educational Research, 1979
Twenty-nine first grade monolingual English speaking children and 59 English second language children (given the Peabody Picture Vocabulary Test and the Raven Matrices in kindergarten) were tested via the Metropolitan Achievement Test to determine achievement levels of Italian children and the predictive relationship between measures of ability…
Descriptors: Ability, Academic Achievement, Comparative Analysis, English (Second Language)
Peer reviewedCampbell, Hugh; Ignizio, James P. – Educational and Psychological Measurement, 1972
Predictions using linear programing are less biased by extreme cases and thus offer a more valid estimate of expected student performance than that given by a least squares approach. (Authors/MB)
Descriptors: Academic Achievement, College Entrance Examinations, Comparative Analysis, Linear Programing
Six School Readiness Screening Devices Used in Pediatric Offices: Concurrent Validity. Final Report.
Beery, Keith E. – 1967
This study is phase one of a 4-year project. It was aimed at examining the predictive validity of six preschool screening instruments on later academic achievement. The six instruments were (1) the Stanford-Binet Intelligence Test, (2) the Sprigle School Readiness Screening Test, (3) the Anton Brenner Developmental Gestalt Test of School…
Descriptors: Academic Achievement, Comparative Analysis, Correlation, Longitudinal Studies
Peer reviewedO'Tuel, Frances S.; And Others – Gifted Child Quarterly, 1983
Insufficient predictive validity on academic variables of the Structure-of-Intellect Learning Abilities Test Gifted Screening Form (SOI-LA-GSF) was found with 172 gifted grade four and 109 gifted grade seven students. The predictive validity of other measures was examined with 107 grade 10 students. (MC)
Descriptors: Academic Achievement, Academically Gifted, Comparative Analysis, Elementary Secondary Education
Rock, Donald A.; And Others – 1969
This report is the result of a research effort that tried to find out what determines how much a student learns during his 4 years in college. The major purpose was to find partial answers to two basic questions. (1) If the input with respect to student ability is held constant, will identifiable groups of colleges have graduates showing greater…
Descriptors: Academic Achievement, Achievement Tests, College Environment, Comparative Analysis
Peer reviewedLin, Y.; McKeachie, W. J. – British Journal of Educational Psychology, 1973
Three studies of prediction of academic achievement in introductory psychology courses are reported. The Achiever Personality scale of Fricke's Opinion, Attitude and Interest Survey and Brown and Holtzman's Survey of Study Habits and Attitudes made independent contributions beyond intelligence in the prediction of course grades in two of these…
Descriptors: Academic Achievement, Comparative Analysis, Measurement Instruments, Personality Assessment
Thomas, P. J. – 1972
The Basic Test Battery (BTB), a tool in the Navy's enlisted classification system, was developed to predict performance in Navy schools. Men scoring well above the minimum selection scores are expected to demonstrate greater school success than those who are assigned to the schools with minimum or waivered scores. This study attempted to determine…
Descriptors: Academic Achievement, Comparative Analysis, Correlation, Enlisted Personnel
Nisbet, Janice; And Others – Journal of College Student Personnel, 1982
Considered the effectiveness of the Myers-Brigg Type Indicator, the Effective Study Test Results, the Scholastic Aptitude Test, and high school class rank to predict success among high-risk college freshmen (N=658). Found the predictability of success reached the same level as that normally achieved for nonrisk students. (Author/RC)
Descriptors: Academic Achievement, College Freshmen, College Students, Comparative Analysis
Peer reviewedMcGaghie, William C.; And Others – Academic Medicine, 1990
Data for this study were collected during a comparative, longitudinal evaluation of a family medicine fellowship program covering the years 1979-87. The physician sample included 90 family physicians who had received fellowship training and 113 control physicians who have not participated in a fellowship training program. (MLW)
Descriptors: Academic Achievement, Comparative Analysis, Family Practice (Medicine), Fellowships

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