Professional engineering pathways study: A longitudinal study of early career preparedness and decision-making

Samantha Brunhaver, Ruth Streveler, Cheryl Carrico, Holly Matusovich, Peggy Boylan-Ashraf, Sheri Sheppard

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

9 Scopus citations


This paper introduces the Professional Engineering Pathways Study (PEPS), a three-year study aimed at developing new understandings of early career engineering career preparedness and decision-making. The project takes a national perspective, drawing on data from six partner institutions across the U.S., and focuses specifically on engineering students' experiences, perceptions, and plans as they look toward their initial career steps. The project involves two critical elements. The research element uses a longitudinal, mixed-method approach to examine how engineering students explore, select, and prepare for their chosen careers. The community of practice element focuses on bridging research-to-practice by engaging administrators, faculty, and staff at the six partner institutions in data interpretation and dissemination activities. This research will help drive continuous improvement in engineering programs and universities. Preliminary results of the study will be presented at the conference.

Original languageEnglish (US)
Title of host publication2015 IEEE Frontiers in Education Conference
Subtitle of host publicationLaunching a New Vision in Engineering Education, FIE 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479984534
StatePublished - Dec 2 2015
Event2015 IEEE Frontiers in Education Conference, FIE 2015 - El Paso, United States
Duration: Oct 21 2015Oct 24 2015

Publication series

NameProceedings - Frontiers in Education Conference, FIE
ISSN (Print)1539-4565


Other2015 IEEE Frontiers in Education Conference, FIE 2015
Country/TerritoryUnited States
CityEl Paso


  • cognitive information processing theory
  • college-career transition
  • community of practice
  • decision-making
  • expectancy value theory
  • longitudinal
  • mixed-methods
  • preparedness

ASJC Scopus subject areas

  • Software
  • Education
  • Computer Science Applications


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