2025 ASEE Annual Conference & Exposition

Creating Peer-Led Faculty Learning Teams to Promote Social Responsibility in Computing

Presented at Faculty Development Works in Progress Session 2

This work-in-progress study examines the development and impact of peer-led faculty learning communities (FLCs) focused on integrating social responsibility in computing (SRC) curricula. Employing design-based research methods, this research explores faculty perceptions and curricular changes following a two-day summer workshop in 2024. Data sources include pre- and post-workshop faculty surveys assessing confidence in implementing SRC content and intended curricular changes, and a reflective focus group with FLC leadership. Survey results indicate increased faculty confidence in teaching SRC, with reported intentions to incorporate related content, such as social and environmental impacts, ethical design, and considerations of bias, across computing coursework. The focus group highlighted the importance of interdisciplinary collaboration between social science and computing faculty, a spiral curriculum design, and shared FLC leadership across campuses in fostering effective faculty development and promoting the adoption of SRC principles. This study contributes practical recommendations for faculty developers seeking to promote social responsibility in computing education.

Authors

Dr. Sarah Hug Colorado Evaluation and Research Consulting [biography]

Dr. Sarah Hug is director of the Colorado Evaluation & Research Consulting. Dr. Hug earned her PhD in Educational Psychology at the University of Colorado, Boulder. Her research and evaluation efforts focus on learning science, technology, engineering, and broadening participation in computing and engineering fields through equitable educational policy and practice.
Dr. Jane L. Lehr California Polytechnic State University, San Luis Obispo [biography]

Jane Lehr is a Professor in Ethnic Studies and Women's and Gender Studies and Director of the Office of Student Research at California Polytechnic State University, San Luis Obispo. She is affiliated faculty in Computer Science & Software Engineering and
Dr. Zoe Wood California Polytechnic State University, San Luis Obispo [biography]

Whether it is creating computer graphics models of underwater shipwrecks or using art and creativity to help students learn computational thinking, Professor Zoe Wood's projects unite visual arts, mathematics and computer science.
Anagha Kulkarni San Francisco State University [biography]

Anagha Kulkarni is an Associate Professor of Computer Science at San Francisco State University. Her research investigates problems at the intersection of information retrieval (IR), natural language processing (NLP), and machine learning (ML). Her work a
Fang Tang Cal Poly Pomona [biography]

Dr. Fang (Daisy) Tang is a Professor in Computer Science from Cal Poly Pomona. Dr. Tang received her Ph.D. degree in computer science in 2006 from The University of Tennessee - Knoxville. Her research interests include multi-robot systems, multi-agent systems and computer science education.
Dr. Kanika Sood California State University, Fullerton [biography]

Dr. Sood is an Associate Professor in Computer Science. She earned her PhD in Computer Science from University of Oregon. Her research focuses on Computer science education and STEM education to optimize resources and enhance student engagement to highlight problem-solving practices and applications of computational thinking across disciplines and applying machine learning techniques for disease prognosis and enhancing solar panel performance.

Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025

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