Using discriminant analysis to identify students at risk

Edward W. Thomas, M. Jackson Marr, Adrian Thomas, Robert M. Hume, Neff Walker

Research output: Contribution to journalConference article

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 languageEnglish (US)
Pages (from-to)185-188
Number of pages4
JournalProceedings - Frontiers in Education Conference
StatePublished - Dec 1 1996
Externally publishedYes
EventProceedings of the 1996 26th Annual Conference on Frontiers in Education, FIE'96. Part 1 (of 3) - Salt Lake City, UT, USA
Duration: Nov 6 1996Nov 9 1996

ASJC Scopus subject areas

  • Software
  • Education
  • Computer Science Applications

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