• DocumentCode
    3206362
  • Title

    Work in progress — Modeling academic success of female and minority engineering students using the student attitudinal success instrument and pre-college factors

  • Author

    Lin, Joe J. ; Imbrie, P.K. ; Reid, Kenneth J. ; Wang, Junqiu

  • fYear
    2011
  • fDate
    12-15 Oct. 2011
  • Abstract
    Female enrollment in engineering in the United States has remained at or below 20% for decades. Enrollment of students from traditionally underrepresented groups has also remained below desired level for years. A systematic understanding of important factors leading to persistence and success in undergraduate engineering programs for female and underrepresented minority students would be very valuable for recruiting, retaining and educating young engineers with diverse perspectives. This paper discusses the significant predictors for retention and academic performance of female engineering students, and reports the difference in comparison with male engineering students. Similar results on the important predictors for retention and performance of underrepresented minority engineering students will also be reported and compared with the ethnic majority students. The findings from this study suggest it is potentially advantageous to develop student success models specific for female or minority engineering student populations, rather than using the same model developed for the whole population. New knowledge obtained through this study will lead to the development of necessary strategies, interventions or programs to help improve retention and academic success of our engineering students.
  • Keywords
    educational institutions; engineering education; further education; gender issues; academic success modeling; female engineering students; female enrollment; minority engineering students; pre-college factors; student attitudinal success instrument; student success model; undergraduate engineering programs; young engineers; Educational institutions; Engineering students; Instruments; Lead; Mathematical model; Predictive models; persistence in engineering; student success model; underrepresented minorities; women in engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Education Conference (FIE), 2011
  • Conference_Location
    Rapid City, SD
  • ISSN
    0190-5848
  • Print_ISBN
    978-1-61284-468-8
  • Electronic_ISBN
    0190-5848
  • Type

    conf

  • DOI
    10.1109/FIE.2011.6143044
  • Filename
    6143044