June 15, 1997
June 15, 1997
June 18, 1997
2.302.1 - 2.302.9
Multivariate Analysis of Student Performance in Large Engineering Economy Classes
William G. Sullivan, Shamil F. Daghestani Department of Industrial and Systems Engineering Virginia Tech Blacksburg, VA 24061-0118
Based on multivariate data collected over four years, linear regression equations are developed and used to assess student learning in large sections of engineering economy taught at Virginia Tech. In each year (1993, 1994, 1995 and 1996), more than 350 students in the fall semester voluntarily participated in this research. This paper presents the principal findings of the study and demonstrates the use of multivariate linear regression for evaluating student performance (learning) in engineering economy.
The aim of this paper is to describe statistical results from the application of multiple linear regression to student records and performance data collected during the fall semesters of 1993, 1994, 1995 and 1996 at Virginia Tech. Over 1,400 students in large sections (~200 students each) of engineering economy (ISE 2014) voluntarily participated in this research to develop linear regression equations for predicting learning in the course. These predictions can then be used to offer individual tutoring to students who are found to be “at risk.”
A valid surrogate measure of learning is assumed to be the final weighted score in this 2-hour sophomore level course. In this study the final weighted score is the dependent variable, which is determined as follows.
Final weighted score = 0.20 (homework/quiz score) + 0.25 (test 1 score) + 0.25 (test 2 score) + 0.30 (final examination score)
The independent variables include gender (GNDR), academic level (LVL), grade point average (QCA), SAT math score (MATH), SAT verbal score (VERB) and high school class standing (HS Rank %). Further delineations regarding particular engineering major, morning (AM) versus afternoon (PM) section and instructor were also made in the student records database.
Daghestani, S. F., & Sullivan, W. G. (1997, June), Multivariate Analysis Of Student Performance In Large Engineering Economy Classes Paper presented at 1997 Annual Conference, Milwaukee, Wisconsin. 10.18260/1-2--6701
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 1997 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015