How 'Returner' and 'Direct-Pathway' Graduate Students' Experiences May Lead to Attrition from Doctoral Programs

Shannon O'Brien, Catherine G.P. Berdanier

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

Abstract

This research full paper addresses how different pathways into graduate school may correspond with students' attributions of the factors that impact their attrition decisions. Studying attrition in graduate engineering programs is important to understand and benefit graduate engineering students in their programs. Pathway into to graduate study and its effect on themes in questioning departure from programs has not been widely studied. Returners, defined as students who had a gap of at least 6 months between undergraduate degree completion and graduate program entry, are often an understudied group in graduate engineering attrition. In this study, narrative analysis methods were employed to investigate potential differences between returners and direct-pathway students experiences as they questioned departure from their graduate engineering programs. In this work, we found that returners commonly face challenges in finding a support network and direct-pathway students commonly struggle with unclear goals in their studies. Providing returners with better support and helping direct-pathway students understand their goals can help students persist in their graduate engineering program.

Original languageEnglish (US)
Title of host publication2022 IEEE Frontiers in Education Conference, FIE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665462440
DOIs
StatePublished - 2022
Event2022 IEEE Frontiers in Education Conference, FIE 2022 - Uppsala, Sweden
Duration: Oct 8 2022Oct 11 2022

Publication series

NameProceedings - Frontiers in Education Conference, FIE
Volume2022-October
ISSN (Print)1539-4565

Conference

Conference2022 IEEE Frontiers in Education Conference, FIE 2022
Country/TerritorySweden
CityUppsala
Period10/8/2210/11/22

All Science Journal Classification (ASJC) codes

  • Software
  • Education
  • Computer Science Applications

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