One size does not fit all: Understanding how faculty implement evidence-based instructional practices in their engineering courses

Amy L. Brooks, Shane A. Brown, Prateek Shekhar, Kevin Heath, Heydi Dominguez, Jeffrey Knowles

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

5 Scopus citations

Abstract

This Work-In-Progress paper summarizes insights from early research activities related to a National Science Foundation (NSF) Improving Undergraduate STEM Education (IUSE) project investigating faculty adoption of evidence-based instructional practices (EBIPs) in engineering classrooms. We are investigating EBIPs in engineering classrooms because, although instructors are interested and willing to adopt them, uptake by engineering faculty is lagging. To understand what is driving limited incorporation of EBIPs, our research objectives are anchored in our overlying goal of examining the lived experience of engineering faculty as they seek out and try innovative teaching practices (i.e., EBIPs) in their courses. This paper reports insights from early exploratory interviews with engineering faculty around their experiences with trying EBIPs. We report on general patterns observed during the early stages of our analysis of the interview transcripts with three engineering faculty (n = 3). We discuss how our analysis informs the next steps of our overarching investigation and briefly discuss the broader significance related to the context of faculty approaches for implementing EBIPs into their engineering courses.

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

Keywords

  • evidence-based practice
  • faculty development
  • instructional change
  • interviews
  • qualitative analysis

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