Abstract
The feasibility of using discriminant analysis to identify engineering students who are at risk of failing in a certain course is evaluated. The technique is used in predicting student performance in an introductory electromagnetism course at Georgia Institute of Technology. Results indicate that discriminant analysis is capable of accurately identifying the factors that are predictive of course performance of engineering undergraduates.
Original language | English (US) |
---|---|
Pages (from-to) | 185-188 |
Number of pages | 4 |
Journal | Proceedings - Frontiers in Education Conference |
State | Published - 1996 |
Externally published | Yes |
Event | Proceedings of the 1996 26th Annual Conference on Frontiers in Education, FIE'96. Part 1 (of 3) - Salt Lake City, UT, USA Duration: Nov 6 1996 → Nov 9 1996 |
ASJC Scopus subject areas
- Software
- Education
- Computer Science Applications