Making College “Worth It” – Season 2, Episode 2

This episode explores what AI integration in college assignments can do for student learning. With guests Aaron Trocki, a math professor at Elon university, and Alyssa Collins, who is studying to be a secondary education teacher and worked through one of Trocki’s assignments, we explore the use of AI in a math assignment and the outcomes for student learning.

View a transcript of this episode.

Meet our Guests

Aaron Trocki, Ph.D., is Association Professor of Mathematics and Coordinator of the Mathematics with Teacher Licensure Program at Elon University. His research interests include teaching and learning with technology, strategies for student engagement, and curriculum development. He is the CEL Scholar for 2023–2025 and is focusing on models of assessment and feedback outside of traditional grading assumptions and approaches. Part of this work investigates how generative artificial intelligence may inform assessment and feedback practices in higher education. 

Alyssa Collins is a second-year student at Elon University, where she is pursuing a degree in Mathematics for Secondary Education. Alyssa is distinguished as both an Elon Teaching Fellow and a North Carolina Teaching Fellow. With a keen interest in the complexities of Artificial Intelligence, she actively participates in focus groups to explore how AI will shape the future of education systems. She is eager to offer her perspective as a current student and future educator. 

Episode Credits

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

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. 

Explore Center Resources Related to this Episode

Blog Posts by Aaron Trocki

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Assessing Student Feedback Literacy 

In the last blog post, I discussed my initial plans for feedback this semester. A few insights have helped me to plan effective feedback strategies. The feedback loop (Clark and Talbert 2023) structures students’ engagement with feedback they receive to…

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Planning for Effective Feedback and Promoting Feedback Literacy 

As I continue to explore literature on models of assessment and feedback, the importance of feedback and feedback literacy has emerged as an ongoing theme. At the time of this writing, my colleagues and I are preparing for the spring…

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Exploring Student Choice in Artificial Intelligence-Supported Assessments for Learning (Part 2) 

In part one of this two-part blog post, I shared the revision of an artificial intelligence-supported assessment (AI-SA) I had used in spring 2024. The revised version gave students a choice in what technology (ChatGPT or internet search) they could…

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Exploring Student Choice in Artificial Intelligence-Supported Assessments for Learning (Part 1) 

In this series of blog posts, I began by exploring models of assessment and feedback and offering some perspectives on benefits and drawbacks from various models. The practice perspective as described by Boud et al. (2018) proved valuable in my…

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Analyzing an Artificial Intelligence-Supported Assessment and Summarizing Key Takeaways  

In this blog post, I share my analysis of the third artificial intelligence-supported assessment (AI-SA) students completed in the spring of 2024. If you have been following these posts, you will recall that this AI-SA was the last one administered…

Other Blog Posts and Podcasts on Generative AI

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When Education Becomes Performative, Learning Suffers 

Generative AI is great at writing to a script.  I have a waking nightmare, of sorts, involving AI and email: someone writes to me by prompting an AI system with a topic. I feel I need to reply, but I’m…

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Examining AI Use in the Workplace  

As a teacher in higher education, it’s easy to feel pressure to have my graduates job-market ready, and at my university, we have had some engaging discussions about how well we should prepare students to use AI on the job….

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Using Generative AI in Leadership Development

Leadership is highlighted in higher education because educators believe leadership training matters in the job market. Research backs this up. Moody, Stewart, and Bolt-Lee (2002) found that leadership is one of the top five qualities employers look for and something…

Digital illustration of the back of three Black male students looking at a laptop screen. Quotation mark with text under reads: "Teaching students how to use AI responsibly and thoughtfully makes sense in a course designed to give them a strong start."

Using Generative AI in First-Year Seminars 

Generative AI tools, like ChatGPT, are becoming common in education, and many students arrive at colleges and universities with some experience using them. Often, though, that experience is tinged with concern—worries about academic integrity or fear of doing something “wrong.”…

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AI and Anxiety: Perspectives from Higher Education  

In higher education, Artificial Intelligence (AI) offers real benefits like time savings and a tireless thought partner. But it can also mean significant anxiety for students and their instructors alike.   What Makes People More Likely to Accept AI?  Research indicates that…

Also Mentioned in the Episode

Gooden, Drew. 2024, June 3. “AI is Ruining the Internet.” https://youtu.be/UShsgCOzER4?si=I5YCvdfKoR3Miqm7

Kerr, Dara. 2024, July 10. “Artificial Intelligence’s Thirst for Electricity.” Morning Edition. https://www.npr.org/2024/07/10/nx-s1-5028558/artificial-intelligences-thirst-for-electricity