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Matos-Díaz, Horacio – Education Policy Analysis Archives, 2021
Faculty members and their corresponding academic fields at the University of Puerto Rico at Bayamón are classified with regard to grading practices over time. Based on the effects on the intercept of the equations that predict the GPA and the proportion of student withdrawals observed in each of the 39,337 courses offered during 41 consecutive…
Descriptors: Grading, Educational Policy, Educational History, College Faculty
Lang, Charles William McLeod – ProQuest LLC, 2015
Personalization, the idea that teaching can be tailored to each students' needs, has been a goal for the educational enterprise for at least 2,500 years (Regian, Shute, & Shute, 2013, p.2). Recently personalization has picked up speed with the advent of mobile computing, the Internet and increases in computer processing power. These changes…
Descriptors: Individualized Instruction, Electronic Learning, Mathematics, Bayesian Statistics
Calisir, Fethi; Basak, Ecem; Comertoglu, Sevinc – College Student Journal, 2016
The purpose of this study is to investigate the factors affecting academic achievement of the master's students who are enrolling in the executive engineering management master's programs in Turkey. These factors include admission requirements (entrance examination, undergraduate grade point average, English proficiency) and demographic attributes…
Descriptors: Prediction, Academic Achievement, Graduate Students, Management Development
Herrera, Cheryl; Blair, Jennifer – Research in Higher Education Journal, 2015
As the U.S. population ages and policy changes emerge, such as the Patient Protection and Affordable Care Act of 2010, the U.S. will experience a significant shortage of Registered Nurses (RNs). Many colleges and universities are attempting to increase the size of nursing cohorts to respond to this imminent shortage. Notwithstanding a 2.6%…
Descriptors: Prediction, Success, Nursing Education, Nursing Students
Kowski, Lynne E. – Community College Journal of Research and Practice, 2013
Predicting student success has long been a question of interest for postsecondary admission counselors throughout the United States. Past research has examined the validity of several methods designed for predicting undergraduate success. High school record, standardized test scores, extracurricular activities, and combinations of all three have…
Descriptors: Predictor Variables, Prediction, Standardized Tests, Scores
Morrison, Michael C.; Schmit, Shelly – Online Submission, 2010
A logit model predicting student outcomes for a gateway course, Math for Liberal Arts, was successfully developed which fits the data well. Two variables, ACT math score and high school GPA, were found to be significant predictors of achieving a C or better in Math for Liberal Arts. A practical implication of the study suggests that with just two…
Descriptors: Grade Point Average, Mathematics Achievement, Prediction, Probability
Hogarth, Robin M.; Karelaia, Natalia – Psychological Review, 2007
Much research has highlighted incoherent implications of judgmental heuristics, yet other findings have demonstrated high correspondence between predictions and outcomes. At the same time, judgment has been well modeled in the form of as if linear models. Accepting the probabilistic nature of the environment, the authors use statistical tools to…
Descriptors: Heuristics, Cognitive Ability, Grade Point Average, Prediction
Kolen, Michael J.; And Others – 1977
Six methods for smoothing double-entry expectancy tables (tables that relate two predictor variables to probability of attaining a selected level of success on a criterion) were compared using data for entering students at 85 colleges and universities. ACT composite scores and self-reported high school grade averages were used to construct…
Descriptors: College Entrance Examinations, College Freshmen, Expectancy Tables, Grade Point Average
Lunneborg, Clifford E. – 1971
A Bayesian prediction strategy is outlined in which antecedent measures are divided into two subgroups. One subgroup is used to discriminate among criterion groups, the second to provide normal linear predictions for each group. Individualized regression constants are subsequently obtained by computing probabilities of group membership from the…
Descriptors: Academic Achievement, Achievement Tests, Aptitude Tests, Bayesian Statistics