Multivariate analysis of student performance in large engineering economy classes Conference Paper

abstract

• Based on multivariate data collected over three 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 and 1995), 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.

name of conference

• Technology-Based Re-Engineering Engineering Education Proceedings of Frontiers in Education FIE'96 26th Annual Conference

authors

• Parsaei, Hamid

published proceedings

• FRONTIERS IN EDUCATION FIE'96 - 26TH ANNUAL CONFERENCE, PROCEEDINGS, VOLS 1-3

author list (cited authors)

• Sullivan, W. G., Daghestani, S. F., & Parsaei, H. R.

citation count

• 2

complete list of authors

• Sullivan, WG||Daghestani, SF||Parsaei, HR

publication date

• January 1996

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Frontiers in Education Conference  Journal

Digital Object Identifier (DOI)

• 10.1109/fie.1996.569939

International Standard Book Number (ISBN) 10

• 0-7803-3349-7

start page

• 180

end page

• 184

volume

• 1

URL

• http://dx.doi.org/10.1109/fie.1996.569939