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Hidayat, Riyan; Syed Zamri, Sharifah Norul Akmar; Zulnaidi, Hutkemri; Abdullah, Mohd Faizal Nizam Lee; Adnan, Mazlini – European Journal of Educational Research, 2021
Several concerted movements toward mathematical modeling have been seen in the last decade, reflecting the growing global relationship between the role of mathematics in the context of modern science, technology and real life. The literature has mainly covered the theoretical basis of research questions in mathematical modeling and the use of…
Descriptors: Metacognition, Competence, Mathematical Models, Structural Equation Models
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Van Appel, Vaughan; Durandt, Rina – Perspectives in Education, 2019
This article reports on the results of an investigation of the predictive accuracy of five different mathematical models to identify at-risk students in a Business Statistics course. Low levels of students' success, especially in mathematics-related subjects such as statistics, are a salient problem in South Africa and other countries. Statistical…
Descriptors: Foreign Countries, Mathematical Models, Prediction, At Risk Students
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Huang, Shaobo; Fang, Ning – Computers & Education, 2013
Predicting student academic performance has long been an important research topic in many academic disciplines. The present study is the first study that develops and compares four types of mathematical models to predict student academic performance in engineering dynamics--a high-enrollment, high-impact, and core course that many engineering…
Descriptors: Academic Achievement, Grade Point Average, Accuracy, Prediction
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Kartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement
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Zwick, Rebecca; Sklar, Jeffrey C. – Journal of Educational and Behavioral Statistics, 2005
Cox (1972) proposed a discrete-time survival model that is somewhat analogous to the proportional hazards model for continuous time. Efron (1988) showed that this model can be estimated using ordinary logistic regression software, and Singer and Willett (1993) provided a detailed illustration of a particularly flexible form of the model that…
Descriptors: Error of Measurement, Regression (Statistics), Computer Software, Predictor Variables
Dempsey, Jack R.; Fast, Jonathan C. – 1976
An analytical framework is described through which voluntary attrition can be predicted. The approach incorporates Marshallian Utility Theory and a Maximum Likelihood Estimation procedure to evaluate a specific individual's propensity to attrit. The approach was tested twice at the United States Air Force Academy where it was able to correctly…
Descriptors: Ability, Attrition (Research Studies), College Students, Dropouts
Houston, Walter M.; Sawyer, Richard – 1988
Methods for predicting specific college course grades, based on small numbers of observations, were investigated. These methods use collateral information across potentially diverse institutions to obtain refined within-group parameter estimates. One method, referred to as pooled least squares with adjusted intercepts, assumes that slopes and…
Descriptors: Bayesian Statistics, College Students, Colleges, Comparative Analysis
Werts, Charles E.; Linn, Robert L. – 1975
Forming a sequence covering the various aspects of the simplex model, four articles are presented here under the following titles: "A Simplex Model for Analyzing Academic Growth", "Analyzing Ratings With Correlated Intrajudge Measurement Errors", "The Correlation of States With Gain", and "The Reliability of…
Descriptors: Academic Achievement, Achievement Gains, Analysis of Covariance, College Students
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers