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Raju, Dheeraj; Schumacker, Randall – Journal of College Student Retention: Research, Theory & Practice, 2015
The study used earliest available student data from a flagship university in the southeast United States to build data mining models like logistic regression with different variable selection methods, decision trees, and neural networks to explore important student characteristics associated with retention leading to graduation. The decision tree…
Descriptors: Student Characteristics, Higher Education, Graduation Rate, Academic Persistence
Yannibelli, Virginia; Godoy, Daniela; Amandi, Analia – Interactive Learning Environments, 2006
Learning styles encapsulate the preferences of the students, regarding how they learn. By including information about the student learning style, computer-based educational systems are able to adapt a course according to the individual characteristics of the students. In accomplishing this goal, educational systems have been mostly based on the…
Descriptors: Student Characteristics, Mathematical Models, Genetics, Educational Technology
Davis, Otto A. – 1974
The basic objective of this research program was to develop and to test an accountability model of the educational process. In cooperation with the Pittsburgh School District, a major effort was devoted toward the development of a data base, the construction of appropriate models and the conduct of analyses of the data. Some analysis was…
Descriptors: Accountability, Data Analysis, Data Collection, Demography
Burstein, Leigh – 1976
Two questions are investigated here: What should the unit of analysis be in investigations of educational effects and on what basis should the units be chosen Under what conditions can relationships among measurements on individuals be estimated from the relationships among measurements on aggregates of individuals? Models using standard analysis…
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Correlation
Vasquez Associates Ltd., Milwaukee, WI. – 1977
The Consortium on Methodology for Aggregating Data in Educational Research was designed as a collaborative effort by research methodologists from economics, education and sociology. Consortium goals were to delineate what was known about the problems associated with the analysis of data from the multiple levels (pupil, teacher/classroom, school)…
Descriptors: Classification, Classroom Research, Conference Reports, Consortia
Boardman, Anthony E.; And Others – 1973
This paper develops and estimates a model of the educational process. Most researchers have relied on a single equation, educational production function, which is an unrealistic formulation. A pupil's achievement, motivation, expectations, self-concept, and his perceived parents' and teachers' expectations are determined jointly, not…
Descriptors: Academic Achievement, Accountability, Data Analysis, Demography
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

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