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.
|Number of pages||5|
|Journal||Proceedings - Frontiers in Education Conference|
|Publication status||Published - 1 Dec 1996|
|Event||Proceedings of the 1996 26th Annual Conference on Frontiers in Education, FIE'96. Part 1 (of 3) - Salt Lake City, UT, USA|
Duration: 6 Nov 1996 → 9 Nov 1996
ASJC Scopus subject areas
- Computer Science Applications