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Toprak, Emre; Gelbal, Selahattin – International Journal of Assessment Tools in Education, 2020
This study aims to compare the performances of the artificial neural network, decision trees and discriminant analysis methods to classify student achievement. The study uses multilayer perceptron model to form the artificial neural network model, chi-square automatic interaction detection (CHAID) algorithm to apply the decision trees method and…
Descriptors: Comparative Analysis, Classification, Artificial Intelligence, Networks
Sayin, Ayfer – Journal of Education and Training Studies, 2016
In the formation education that is carried out within the scope of undergraduate and non-thesis graduate programs within the same university, different criteria are used to evaluate students' success. In this study, classification accuracy of letter grades that are generated to evaluate students' success using relative and absolute criteria and…
Descriptors: Foreign Countries, Student Evaluation, Grading, Evaluation Criteria
Druva-Roush, Cynthia Ann; And Others – 1994
Methods of adjusting cut scores used in placement decisions are examined empirically. Admission and performance variables are used to study alternate methods of adjusting cut scores for placement in standard and accelerated rhetoric courses in a large university setting, with the predicted variable being success or failure as measured by…
Descriptors: Academic Achievement, Comparative Analysis, Cutting Scores, Decision Making
Glover, Robert H.; Mills, Michael R. – 1989
A research design, decision support system, and results of a comparative analysis of enrollment and financial strength (of private institutions granting masters and doctoral degrees) are presented. Cluster analysis, discriminant analysis, multiple regression, and an interactive decision support system are used to compare the enrollment and…
Descriptors: Cluster Analysis, College Planning, Comparative Analysis, Data Analysis
Peer reviewedSmith, Kerry – College and University, 1990
This study was initiated to determine whether factors pertinent to the choices of four-year students apply to, and are predictive of, the decisions of two-year students, or whether alternative models of choice are needed. Students completed a questionnaire which asked for information about their characteristics and college decisions. (MLW)
Descriptors: College Choice, College Students, Colleges, Community Colleges
Hengstler, Dennis D.; And Others – 1981
The reliability, factor structure, and discriminatory power of faculty perceptions of the performance of departmental administrators were investigated, using the Administrator Evaluation Survey (AES) developed at the University of Illinois. Faculty from a major research university in the midwest, a smaller state university in the midwest, and a…
Descriptors: Administrator Evaluation, Administrator Responsibility, Administrator Role, Black Colleges


