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Wu, Jiun-Yu; Hsiao, Yi-Cheng; Nian, Mei-Wen – Interactive Learning Environments, 2020
This paper demonstrated the use of the supervised Machine Learning (ML) for text classification to predict students' final course grades in a hybrid Advanced Statistics course and exhibited the potential of using ML classified messages to identify students at risk of course failure. We built three classification models with training data of 76,936…
Descriptors: Social Media, Discussion Groups, Artificial Intelligence, Classification
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Simpson, Adrian – Studies in Higher Education, 2017
Within higher education systems, different institutions deliver different patterns of disciplines. A simple analysis of the structure of that pattern of disciplines across institutions in one higher education system uncovers a surprising relationship. That is, the key dimensions which describe that structure align nearly perfectly with dimensions…
Descriptors: Higher Education, Classification, Intellectual Disciplines, Predictive Validity
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Walker, Eddie G., II – Journal of Higher Education Policy and Management, 2016
The accountability of colleges and universities is a high priority for those making policy decisions. The purpose of this study was to determine institutional characteristics predicting retention rates, graduation rates and transfer-out rates using publicly available data from the US Department of Education. Using regression analysis, it was…
Descriptors: Higher Education, Predictive Measurement, Predictive Validity, Prediction
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Black, Beth – Thinking Skills and Creativity, 2012
Cambridge Assessment has more than 20 years experience in assessing Critical Thinking (CT) in a number of diverse tests and qualifications, unrivalled by any other body within the UK. In recent years, a number of research activities have been carried out in order to support these assessments, with a focus on the validity of measurement. This paper…
Descriptors: Critical Thinking, Validity, Evaluation Research, Classification
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Barry, Adam E.; Piazza-Gardner, Anna K. – Journal of American College Health, 2012
Objective: Examine the co-occurrence of alcohol consumption, physical activity, and disordered eating behaviors via a drunkorexia perspective. Participants: Nationally representative sample (n = 22,488) of college students completing the Fall 2008 National College Health Assessment. Methods: Hierarchical logistic regression was employed to…
Descriptors: Physical Activities, Eating Disorders, Drinking, College Students
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Barmby, Patrick; Bolden, David; Higgins, Steve; Tymms, Peter – Educational Research, 2012
Background: Successfully selecting students for undergraduate courses and for teaching is notoriously difficult. Traditionally, in England, A level grades and interviews have been used in conjunction with a variety of other approaches. Purpose: This paper examines the predictive validity of students' A level grades and of scores from a structured…
Descriptors: Grades (Scholastic), Predictive Validity, Interviews, Classification
Kobrin, Jennifer L.; Kim, Rachel; Sackett, Paul – College Board, 2011
There is much debate on the merits and pitfalls of standardized tests for college admission, with questions regarding the format (multiple-choice versus constructed response), cognitive complexity, and content of these assessments (achievement versus aptitude) at the forefront of the discussion. This study addressed these questions by…
Descriptors: College Entrance Examinations, Mathematics Tests, Test Items, Predictive Validity
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Kappe, F. R.; Boekholt, L.; den Rooyen, C.; Van der Flier, H. – Learning and Individual Differences, 2009
Multiple and specific learning criteria were used to examine the predictive validity of the Learning Style Questionnaire (LSQ). Ninety-nine students in a college of higher learning in The Netherlands participated in a naturally occurring field study. The students were categorized into one of four LSQ dimensions, namely, Activists, Theorists,…
Descriptors: Cognitive Style, Academic Achievement, Predictive Validity, Criteria