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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
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Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
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Jensen, Philip A.; Barron, James N. – Journal of College Science Teaching, 2014
Students routinely ignore negative feedback regarding their performances early in college science courses. In this study we analyzed the extent to which two standard forms of feedback, midterm and first-exam grades, correlated with final grades in several biology courses. The courses ranged from an introductory course for nonmajors to upper…
Descriptors: Biology, Predictive Validity, Grade Prediction, Feedback (Response)
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Little, Daniel R.; Nosofsky, Robert M.; Denton, Stephen E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
A recent resurgence in logical-rule theories of categorization has motivated the development of a class of models that predict not only choice probabilities but also categorization response times (RTs; Fific, Little, & Nosofsky, 2010). The new models combine mental-architecture and random-walk approaches within an integrated framework and…
Descriptors: Classification, Reaction Time, Stimuli, College Students
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Yen, Cherng-Jyh; Abdous, M'hammed – International Journal of Distance Education Technologies, 2011
The confluence of technology convergence, market forces, and student demand for greater access is reshaping higher education institutions. Indeed, the convergence of technological innovations in hardware, software, and telecommunications, combined with the ubiquity of learning management systems, is reconfiguring and strengthening traditional…
Descriptors: Learner Engagement, Blended Learning, Distance Education, Educational Technology
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Jacob, S. H. – Journal of Experimental Education, 1972
Study investigates the adequacy of predicting differential value systems of college students from their American College Test (ACT) scores. (Author)
Descriptors: College Students, Comparative Analysis, Data Analysis, Males
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Barre, V.; Choquet, C.; El-Kechai, H. – Journal of Interactive Learning Research, 2007
The underlying aim of the work related in this article, was to define Design Patterns for recording and analyzing usage in learning systems. The implied "bottom-up" approach when defining a Design Pattern brought us to examine data collected in our learning system through different lights: (1) the data type, (2) the human roles involved…
Descriptors: Data Analysis, Experiments, Comparative Analysis, Instruction
Cornish, Richard D. – 1971
The MMPI continues to be the focus of a large quantity of research. This article offers an aid to persons working with college student populations by annotating recent MMPI research relating to college populations. A total of 49 articles (each categorized in terms of content into one of 10 sections or subsections) were annotated. The Validity of…
Descriptors: Annotated Bibliographies, Bibliographies, College Students, Comparative Analysis
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Worthington, Everett L., Jr.; Dolliver, Robert H. – Journal of Counseling Psychology, 1977
Concurrent validity of the Strong-Campbell Interest Inventory (SCII) and predictive validity of the Strong Vocational Interest Blank (SVIB) were studied in an 18-year follow-up of a university counseling center group of male college graduate subjects. The SCII had concurrent validity greater than the SVIB. (Author)
Descriptors: College Students, Comparative Analysis, Followup Studies, Interest Inventories
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Dauw, Dean C.; And Others – 1974
This study attempted to understand and define the concepts of creativity and self-actualization and to ascertain, first, if creative people are highly self-actualized, and second, if self-actualized people are highly creative. Four tests (Personal Orientation Inventory, Torrence Tests of Creative Thinking, Similes Preference Inventory, Lafferty's…
Descriptors: Behavior Rating Scales, College Students, Comparative Analysis, Creativity
Routh, Jerry Doyle – 1970
This study sought to ascertain the effect on student behavior of two approaches to visual information transmission. These approaches involved varying the sequence of messages transmitted through the visual communications channel and varying the redundancy of messages presented through this channel. The investigation was conducted as a four-group…
Descriptors: Achievement Rating, College Students, Comparative Analysis, Predictive Measurement
Domino, George; DeGroote, Maryanne V. – Journal of College Student Personnel, 1978
Significant differences between 200 counseling seekers and 200 nonseekers were obtained on nine of the 11 Mooney Problem Check List areas. An item analysis over four additional samples yielded a scale of 42 items of potential predictive usefulness. Students who eventually become clients differ substantially from their nonclient peers. (Author)
Descriptors: Adjustment (to Environment), College Students, Comparative Analysis, Counseling Services
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
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Losak, John – Journal of Higher Education, 1979
In the two studies reported, students who wrote the CLEP and students who did not were compared in grade point average, graduate rate, and rate of progress. For both studies, the CLEP students performed at least as well as non-CLEP on all but one measure. (Author/LBH)
Descriptors: Academic Achievement, College Graduates, College Students, Comparative Analysis
Tsai, Yung-mei; Perry, Floyd, Jr. – 1975
The study's purpose was to: (1) identify factors affecting college students' academic performance measured by college grade point average (GPA) and persistence identified by whether or not withdrawn from the university initially attended; and (2) compare these factors among Black, Mexican American, and Anglo students. Data were obtained from the…
Descriptors: Academic Achievement, Anglo Americans, Black Students, College Students
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