Predicting Student Performance in Entry Level Electrical Engineering Technology and Mathematics Courses Using Precollege Data

The major problems of this study were to identify the relationships between precollege variables and performance in entry level courses in technical curricula through the formation and testing of equations which predict final course grades, and to compare two algorithms for selecting subsets of regression variables. The study examined the problems through efforts to update, improve, extend, and validate methods used at Purdue University Calumet for predicting grades in entry level collegiate courses while describing the improved procedures in a way which would assist officials at other institutions with similar interests.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Education

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2014

Author dc:creator

• Case, Jeffrey Dean

• Education, Vocational

Identifier

(UMI)AAI8324524

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/68866