Retention: Are students good predictors?

Mary R. Anderson-Rowland

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

11 Citations (Scopus)

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

Fingerprint

Students

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.

Retention : Are students good predictors? / Anderson-Rowland, Mary R.

Proceedings - Frontiers in Education Conference. ed. / Anon. Vol. 1 IEEE, 1997. p. 62-70.

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

Anderson-Rowland, MR 1997, Retention: Are students good predictors? in Anon (ed.), Proceedings - Frontiers in Education Conference. vol. 1, IEEE, pp. 62-70, Proceedings of the 1997 27th Annual Conference on Frontiers in Education. Part 1 (of 3), Pittsburgh, PA, USA, 11/5/97.
Anderson-Rowland MR. Retention: Are students good predictors? In Anon, editor, Proceedings - Frontiers in Education Conference. Vol. 1. IEEE. 1997. p. 62-70
Anderson-Rowland, Mary R. / Retention : Are students good predictors?. Proceedings - Frontiers in Education Conference. editor / Anon. Vol. 1 IEEE, 1997. pp. 62-70
@inproceedings{e425c80c306f4d578b42d98f8fcadbf1,
title = "Retention: Are students good predictors?",
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.",
author = "Anderson-Rowland, {Mary R.}",
year = "1997",
language = "English (US)",
volume = "1",
pages = "62--70",
editor = "Anon",
booktitle = "Proceedings - Frontiers in Education Conference",
publisher = "IEEE",

}

TY - GEN

T1 - Retention

T2 - Are students good predictors?

AU - Anderson-Rowland, Mary R.

PY - 1997

Y1 - 1997

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0031374524&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031374524&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0031374524

VL - 1

SP - 62

EP - 70

BT - Proceedings - Frontiers in Education Conference

A2 - Anon, null

PB - IEEE

ER -