Setting a Better Default: Designing a Welcome Academy for New Faculty Centered on Inclusive Teaching in Engineering

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Katherine Goodman
Heather Lynn Johnson
Maryam Darbeheshti
Tom Altman
David C. Mays

Abstract





This design case describes a Welcome Academy for New Faculty in Engineering. To situate the design, this work is mo- tivated by the documented need to make STEM education more inclusive. This need has prompted extensive research on best practices for inclusive teaching, but less is known about how to translate that research into actual teaching practice. This design case addresses that difficulty. Influenced by Thaler and Sunstein’s theory of nudging, the Welcome Academy resets the default to expect inclusive teaching. To develop the design, we organized an off-campus summit to solicit input from current engineering faculty on the question, “What do new engineering faculty need to know about diversity, equity, and inclusion (DEI)?” That input guided the creation of a four-hour workshop, delivered the morning after campus-wide new faculty orientation, that included an icebreaker, basic campus demographics, curated DEI-related resources, a campus tour emphasizing historical power dy- namics, and presentations by current engineering students. To depict the experience of the design, we describe the final implementation, which varied from the design at points, and the unanimously positive feedback from new faculty. That feedback, however, was not the result of a flawless implementation: We also describe a number of failures that will improve subsequent iterations of the Welcome Academy, emphasizing the importance of communication, respect, and flexibility.





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Article Details

How to Cite
Goodman, K., Johnson, H., Darbeheshti, M., Altman, T., & Mays, D. . (2024). Setting a Better Default: Designing a Welcome Academy for New Faculty Centered on Inclusive Teaching in Engineering. International Journal of Designs for Learning, 15(2), 14–25. https://doi.org/10.14434/ijdl.v15i2.36438
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Author Biographies

Katherine Goodman, University of Colorado Denver

Katherine Goodman is an associate teaching professor at the University of Colorado Denver in the College of Engineering, Design, and Computing. She also serves as the University’s Director of the Center for Excellence in Teaching and Learning. Her research focuses on transformative experiences in engineering education.

Heather Lynn Johnson, University of Colorado Denver

Heather Lynn Johnson is a professor at the University of Colorado Denver in the School of Education and Human Development. She is a mathematics educator who investigates students’ math reasoning. She designs tasks to help students expand their math reasoning, and she studies how instructors and departments transform practices to grow students’ math reasoning.

Maryam Darbeheshti, University of Colorado Denver

Maryam Darbeheshti is an associate teaching professor of Mechanical Engineering at the University of Colorado Denver. She is the PI of a recent NSF award that focuses on STEM identity at Urban Universities.

Tom Altman

Tom Altman is a professor of Computer Science and Engineering at the University of Colorado Denver. He specializes in optimization algorithms, formal language theory, and complex systems. He has published a book and 90+ journal/refereed papers and has been a PI/co-PI on over 20 grants, including the NSF(4) and DARPA(2). An ABET Program Evaluator, he has recently expanded his research interests into STEM/Engineering Education

David C. Mays, University of Colorado Denver

David C. Mays is an associate professor at the University of Colorado Denver, where he teaches fluid mechanics, pipe network and sewer design, and hydrology. He leads the graduate track in Hydrologic, Environmental, and Sustainability Engineering (HESE), leads the NSF-sponsored faculty learning community Engineering is Not Neutral: Transforming Instruction through Collaboration and Engagement (ENNTICE), and co-leads the NSF-sponsored certificate program Environmental Stewardship of Indigenous Lands (ESIL).