Communicating Complex STEM Program Evaluation to Diverse Stakeholders

  • Philip M. Reeves
  • , Aiyana Bobrownicki
  • , Melanie Bauer
  • , Mark J. Graham

Research output: Contribution to journalArticlepeer-review

Abstract

Visual representations, such as pathway models, are increasingly being used to both communicate higher education science, technology, engineering, and mathematics (STEM) education program evaluation plans as well as accurately represent complex programs and the systems within which the educational programs reside. However, these representations can be overwhelming to audiences that are not familiar with the program’s structure or engaged in the evaluation process. The goal of this methods essay is to help both evaluators and discipline-based education researchers improve communication about program evaluation with a variety of stakeholders. We propose a three-stage method for developing progressively less complex visualizations to build affordances that help make the program evaluation process and statements of program impact more meaningful to a wider range of audiences. The creation of less complex visualizations can facilitate understanding by allowing a stakeholder to more easily “see” the structure of the program and thereby may evoke a greater willingness to take action and make meaningful programmatic changes based on strategic evaluation planning. To aid readers, we describe how we modified the Systems Evaluation Protocol (SEP) to develop simplified visualizations when evaluating a long-standing college science faculty development program, the Summer Institutes on Scientific Teaching.
Original languageEnglish
Article numberes4
Pages (from-to)1-9
Number of pages9
JournalCBE-Life Sciences Education
Volume19
Issue number2
DOIs
StatePublished - Jun 1 2020
Externally publishedYes

Bibliographical note

© 2020 P. M. Reeves et al. CBE—Life Sciences Education © 2020 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

Funding

Research that contributed in part to this paper was made possible through an NSF Transforming Undergraduate Education in STEM grant (NSF no. 1323258) and an HHMI professors grant originally awarded to Jo Handelsman. We thank our collaborators on this grant, including Xinnian Chen, Brian Couch, Mary Durham, Jennifer Frederick, Monica Hargraves, Claire Hebbard, Jennifer Knight, Jessamina Blum, Michelle Withers, Clarissa Dinks, Jane Buckley, and William Trochim, and we acknowledge Jonathan Waterhouse for contributions to Figure 4.

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