Retention: Are students good predictors?

Mary R. Anderson-Rowland

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Students enrolled in the ECE 100 class of the College of Engineering and Applied Sciences at the Arizona State University, were surveyed to determine the retention rates of engineering students and design intervention programs to improve their retention. The survey requested demographic data, reasons why engineering was chosen, recruitment participation and evaluation, and predictions about the student's academic future and success. It was found that students were good at predicting that they would likely be leaving the College and whether they would fail at least one course. Men were found to be more confident of graduating than women, and students who left the college after one semester had difficulty with their math class on the first semester.

Original languageEnglish (US)
Title of host publicationProceedings - Frontiers in Education Conference
Editors Anon
PublisherIEEE
Pages62-70
Number of pages9
Volume1
StatePublished - 1997
EventProceedings of the 1997 27th Annual Conference on Frontiers in Education. Part 1 (of 3) - Pittsburgh, PA, USA
Duration: Nov 5 1997Nov 8 1997

Other

OtherProceedings of the 1997 27th Annual Conference on Frontiers in Education. Part 1 (of 3)
CityPittsburgh, PA, USA
Period11/5/9711/8/97

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ASJC Scopus subject areas

  • Engineering(all)
  • Industrial and Manufacturing Engineering

Cite this

Anderson-Rowland, M. R. (1997). Retention: Are students good predictors? In Anon (Ed.), Proceedings - Frontiers in Education Conference (Vol. 1, pp. 62-70). IEEE.