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Al-Alawi, Lamees; Al Shaqsi, Jamil; Tarhini, Ali; Al-Busaidi, Adil S. – Education and Information Technologies, 2023
This study aims to employ the supervised machine learning algorithms to examine factors that negatively impacted academic performance among college students on probation (underperforming students). We used the Knowledge Discovery in Databases (KDD) methodology on a sample of N = 6514 college students spanning 11 years (from 2009 to 2019) provided…
Descriptors: Artificial Intelligence, Predictor Variables, Academic Achievement, Grade Prediction
Tucker, Leslie; McKnight, Oscar – Journal of College Student Retention: Research, Theory & Practice, 2019
This study assessed the feasibility of using precollege success indicators to identify at-risk students at a large 4-year public research university in the Midwest. Retention data from students who participated in an established student success program were examined. The findings affirm that the initial admissions assessment identifying at-risk…
Descriptors: Validity, Academic Achievement, College Students, At Risk Students
Bunn, Esther; Fischer, Mary; Marsh, Treba – American Journal of Business Education, 2014
This study seeks to determine if a difference exists in student performance and participation between an online and face-to-face Accounting Intermediate I class taught by the same professor. Even though students self-selected which course section to enroll, no significant difference was found to exist between the delivery method of the two courses…
Descriptors: Classroom Techniques, Teaching Methods, Intermode Differences, Delivery Systems
Sternberg, Robert J.; Bonney, Christina R.; Gabora, Liane; Merrifield, Maegan – Educational Psychologist, 2012
This article outlines shortcomings of currently used university admissions tests and discusses ways in which they could potentially be improved, summarizing two projects designed to enhance college and university admissions. The projects were inspired by the augmented theory of successful intelligence, according to which successful intelligence…
Descriptors: Intelligence, College Students, Grade Point Average, Prediction
Levine, Mark; Guy, Paul; Straus, Peter; Levine, H. T. – American Journal of Business Education, 2009
The present study investigates whether pre-business students, after having completed a traditional in class freshmen introduction to global business course, express a difference in preference for such a course to be delivered online versus classroom or no preference at all. The study further explores whether four variables: 1) number of units of…
Descriptors: Delivery Systems, Preferences, Online Courses, Conventional Instruction

Holen, Michael C.; Newhouse, Michael C. – Journal of Educational Research, 1976
Testing indicated that college students could predict their own academic achievement with accuracy equivalent to that achieved with other predictor variables such as grade point averages. (GW)
Descriptors: Academic Achievement, College Students, Grade Prediction, Predictor Variables

Hartley, Alan A.; Hartley, Joellen T. – Educational and Psychological Measurement, 1976
A predictive equation for estimating performance in a basic course in methods of psychological research from scores on the Differential Aptitude Test reasoning scales and on the Davis Reading Test, from measures of attitudes toward issues in psychology, and from self-ratings of abilities and of expected course grades is developed. (Author/DEP)
Descriptors: Ability Identification, College Students, Grade Prediction, Higher Education

Schuster, D. H. – Journal of Educational Measurement, 1971
The purposes of this study were (a) to analyze the significant variables influencing committee decisions to readmit flunked-out students and, (b) to compare these with variables predicting grade point average after readmission. (Author/AG)
Descriptors: Academic Failure, Admission Criteria, College Students, Grade Point Average
Reiss, J. A.; Topsom, R. D. – Vestes: Australian Universities' Review, 1975
A study of the academic performance of college students at LaTrobe University, Australia, in relation to their college entrance scores (high school achievement) shows that although the scores provide a reasonable guide to first-year performance, a better guide to overall success is the performance at the first-year level. (JT)
Descriptors: Academic Achievement, Admission Criteria, College Admission, College Students

Pedrini, D. T.; Pedrini, Bonnie C. – College Student Journal, 1975
The importance of reading in a course (content, evaluation, etc.) needs to be considered. This research involved 120 college students and compared the Revised Nelson-Denny reading scores (vocabulary, comprehension, rate) and a course grade. Questionnaire responses were also received. Vocabulary predicted about 35 percent of the grade variance.…
Descriptors: College Students, Grade Prediction, Grades (Scholastic), Higher Education
Geis, Lynna; Carney, Myrna L. – 1978
To investigate relationships among reading scores, college academic performance, degree expectations, self-assessed skills, and retention, data from "The Nelson-Denny Reading Test" and background information from "The New Student Survey" were correlated with the freshman year academic performance and enrollment status at the beginning of the…
Descriptors: Academic Achievement, College Students, Grade Prediction, Higher Education

Mills, Joan – College and University, 1978
Employed, upper-division undergraduates majoring in business were studied to determine what factors best predicted academic achievement. Among the contributing factors were freshman-sophomore grade point average and motivational or work-related variables such as goal orientation and number of hours worked. (SW)
Descriptors: Academic Achievement, Business Education, College Students, Employment
Chase, Clinton I.; Keene, John M., Jr. – 1980
Four groups of students were compared on cumulative grade point average, total credit hours attempted, and differences between predicted and actual grade point average (GPA). The four groups of students were formed by the semester in which they declared a major: students declaring in the third semester made up one group, those declaring in the…
Descriptors: Academic Achievement, Aptitude Tests, College Students, Credits
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
Szabo, Michael; Feldhusen, John F. – 1970
This is an empirical study of selected learner characteristics and their relation to academic success, as indicated by course grades, in a structured independent study learning program. This program, called the Audio-Tutorial System, was utilized in an undergraduate college course in the biological sciences. By use of multiple regression analysis,…
Descriptors: Academic Achievement, Biological Sciences, College Science, College Students
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