Making College “Worth It” – Season 3, Episode 3

In this episode, we explore the technical, ethical, and social complexities of using AI in engineering. We speak with Dr. Blake Hament, Assistant Professor of Engineering at Elon University, who shares an example of developing a voice-enabled robotic guide dog in close collaboration with members of the visually-impaired community. Our conversation also examines the long history of AI in engineering, illustrating that GenAI is an updated application of a longstanding technology.

View a transcript of this episode.

Meet our Guest

Professor Blake Hament is an Assistant Professor of Engineering at Elon University. He received a B.S. in Physics from Duke University and served as a research assistant at the European Center for Nuclear Research (CERN). After his undergraduate studies, Blake joined Teach for America, served as a robotics coach, and earned his M.Ed. in Science Education from University of Nevada, Las Vegas. He earned his Ph.D. with the Mechanical Engineering Department at University of Nevada, Las Vegas while conducting R&D with companies like Tesla, Lockheed Martin, Boston Dynamics, and local aerospace and robotics startups. Blake was awarded a US Congressional Commendation and a US Department of Transportation Outstanding Student of the Year award for these contributions. At Elon, Blake has been working to build bridges with other disciplines, with projects like Musical Theatre Robotics and UAV for Stormwater Sampling. 

Episode Credits

This episode is co-hosted by Jessie L. Moore, Director of Elon University’s Center for Engaged Learning, and Nolan Schultheis, a third-year student at Elon University, studying Psychology with an interest in law. Nolan Schultheis also edited the episode.

Episode art was created by Nolan Schultheis and Jennie Goforth. 

Funky Percussions is by Denys Kyshchuk (@audiocoffeemusic) – https://www.audiocoffee.net/. Soft Beat is by ComaStudio. 

Making College “Worth It” is produced by Elon University’s Center for Engaged Learning. 

Explore Resources Related to The Episode

Keefe, Amalie J., and Blake Hament. 2024. “Artificial Intelligence (AI) Voice Module for Robotic Service Dog.” IEEE Xplore 2024 Systems and Information Engineering Design Symposium (SIEDS). https://doi.org/10.1109/SIEDS61124.2024.10534692

Dr. Hament’s Google Scholar page – https://scholar.google.com/citations?user=CQNe4WcAAAAJ&hl=en

Two people wholding phone with facial recognition activated. Quote: "consider how these tools might be used in a culturally responsive and accountable way that selects for equity rather than settling for exclusion.”

Generative AI and Non-Majority Students: Risks and Benefits 

Generative AI offers both potential and limitations for minoritized and disabled students. Recent publications show a clear tension: these tools can expand—making access and participation a reality for some learners who might have been excluded.  At the same time, generative tools have the potential to strengthen the very…

A cartoon robot on a desktop computer screen with a voice balloon with the text, "I'm Nudgy. How can I nudge your thinking today." Text overlays read, "CEL Podcasts. 60-Second SoTL. Student Engagement with GenAI Brainstorming."

Student Engagement with GenAI Brainstorming

60-Second SoTL – Episode 71 How can generative AI support student brainstorming without replacing thinking, voice, or agency? This episode highlights an open-access article about a GenAI-enabled brainstorming app used in an interdisciplinary writing course: Chia, Joanne, and Angela Frattarola. 2025….

An instructor points at a projected image on a screen while wearing First-Person View (FPV) goggles. Adult learners sit at tables, also wearing FPV googles. Text overlays read, "CEL Podcasts. 60-Second SoTL. Generative AI and the future of the scholarship of teaching and learning."

Generative AI and the Future of the Scholarship of Teaching and Learning

60-Second SoTL – Episode 66 How might generative AI reshape course design, faculty development, and the scholarship of teaching and learning? This episode highlights an open-access article that poses three questions about advocating for human-centered teaching and learning in an AI-enhanced future….

Two people stand in front of a projected image of a network pattern with "AI" in the middle of the image. Text overlays read, "CEL Podcasts. 60-Second SoTL. Re-thinking SoTL for the Age of GenAI."

Re-thinking SoTL for the Age of GenAI

60-Second SoTL – Episode 64 How might the Scholarship of Teaching and Learning evolve when humans and generative AI are deeply entangled? This episode highlights an open-access article that offers five propositions, each paired with GenAI prompts, to help SoTL scholars…

"Instead of separating AI literacy and data literacy, we see data literacy as a key precursor to AI literacy." -Cora Wigger

Data Literacy as a Precursor to AI Literacy 

As the new school year begins and our weeks are filled with slide edits, planning meetings, and the smell of new notebooks, one theme is dominating the preparation: Artificial Intelligence. I am not an AI expert. I have no tips…