• DocumentCode
    595778
  • Title

    Introducing “stickiness” as a versatile metric of engineering persistence

  • Author

    Ohland, Matthew W. ; Orr, Marisa K. ; Layton, Richard A. ; Lord, S.M. ; Long, R.A.

  • Author_Institution
    Eng. Educ., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2012
  • fDate
    3-6 Oct. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A new metric, “stickiness,” is proposed, tracking longitudinally all students who have contact with a discipline to determine the likelihood those students will “stick” to that discipline and graduate in it. This metric has the versatility to be relevant for students making contact with engineering through a variety of pathways. Stickiness exhibits significant disciplinary differentiation. Whereas earlier work has shown that Industrial Engineering is the most successful at attracting and retaining students, the disciplinary distribution of stickiness shows that Industrial Engineering is exceptional. Disaggregating by race/ethnicity and gender, much larger variations in stickiness are observed (as much as 48 percent), and positive and negative outcomes are identified where students in particular subpopulations are more or less likely to stick than expected. Aggregated by race/ethnicity and gender, the stickiness of transfer students ranks the disciplines in the same order as the stickiness of first-time-in-college students, but transfer stickiness exhibits less disciplinary variation and transfer students in all disciplines exhibit higher stickiness than first-time-in-college students.
  • Keywords
    continuing education; engineering education; gender issues; industrial engineering; disciplinary distribution; disciplinary variation; engineering persistence; first-time-in-college students; gender; graduate; industrial engineering; race/ethnicity; significant disciplinary differentiation; stickiness metric; students tracking; subpopulations; transfer students; versatile metric; Educational institutions; Engineering education; Industrial engineering; Measurement; Sociology; Statistics; longitudinal; metric; persistence; retention; transfer students;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Education Conference (FIE), 2012
  • Conference_Location
    Seattle, WA
  • ISSN
    0190-5848
  • Print_ISBN
    978-1-4673-1353-7
  • Electronic_ISBN
    0190-5848
  • Type

    conf

  • DOI
    10.1109/FIE.2012.6462214
  • Filename
    6462214