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Direct linkHuang, 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
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
Peer reviewedRatcliff, Roger; And Others – Psychological Review, 1992
Four global memory models were evaluated in 3 recognition memory experiments with 30 college students. Experiments provide receiver operating characteristic (ROC) curves. Data give a clear idea of the behavior of signal and noise distributions in recognition memory. Ways in which results support revision of current models are discussed. (SLD)
Descriptors: College Students, Estimation (Mathematics), Higher Education, Mathematical Models
Peer reviewedMislevy, Robert J.; And Others – Journal of Educational Measurement, 1993
This paper illustrates how, in the item-response theory framework, collateral information about test items can augment or replace examinee responses when linking or equating new tests to established scales, using data from the Pre-Professional Skills Test for approximately 40,000 examinees. Collateral information can predict item operating…
Descriptors: College Students, Equated Scores, Equations (Mathematics), Higher Education
Download full textHouston, 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
Whitely, Susan E.; Dawis, Rene V. – 1972
It is now widely agreed that current ability measures reflect a complex interaction of environment with genetic potential. This leads to a basic measurement problem since persons with the same measured ability may vary widely in potential due to non-equivalent learning opportunities. The purpose of this paper is to present a model which may hold…
Descriptors: Ability Identification, Aptitude Tests, College Students, Educational Research
