This series of short videos from the CTL features faculty and students reflecting on how they are both discerning and may be engaging AI in their classrooms while staying true to our shared commitments to the Scholarship of Teaching and Learning, the Teaching Quality Framework (TQF), and Ignatian Pedagogy and our Jesuit mission.
Video runtimes range from 10-20 minutes. Click the title to play the video.
Interviewee: Dr. Brian Spaid, Chair and Associate Professor of Marketing, College of Business Administration
Brian and Jennifer discuss using generative tools to support the creating of assessments, rubrics, and content materials.
Interviewees: Maxwell Gray, Digital Scholarship Librarian and Nicole Bungert, Student Success Librarian, Raynor Library
Join us for this discussion of the ways in which our library colleagues are supporting students in their consideration of AI, including frameworks and models useful in these approaches.
Interviewee: Juan Carlos Ampie, Director of Student Media and Instructor of Practice, College of Communications
Juan Carlos Ampie discusses AI from the perspective of journalism and his work with students journalists on the Wire as well as his reconsidering of perfection in this latest video.
Interviewee: Dr. Richard Povinelli, Professor of Electrical and Computer Engineering, College of Engineering
Dr. Povinelli discusses his openness to students trying generative technology in his classroom while maintaining a focus on supporting their discernment of its use and impact on their learning.
Interviewee: Alison Julien, Professor, Legal Writing, Law School
Alison and Jen talk about the ways in which she has incorporated AI tools into her own teaching organization, how students are thoughtful in their consideration of its use, and how one size does not necessarily fit all.
Interviewees: Jenna Green, Teaching Assistant Professor, English, College of Arts and Sciences and Fr. Joseph Simmons, Assistant Professor, Theology, College of Arts and Sciences
How can Marquette educators help students assess the promises (and pitfalls) of Generative AI? In this engaging conversation, Dr. Green and Fr. Simmons, SJ discuss the ENGL 1001 curriculum, wherein students interrogate how we formulate AI prompts like, “What makes Milwaukee a good city to visit?”
Dr. Green’s creative assignment encourages students to hone their emerging 'para-expertise’, based in embodied, experiential knowledge of Milwaukee. Presuming AI isn’t going anywhere, we might ask: how can educators help students develop a love of reading and discover their own voice? Have a look and find out what Marquette humanities are doing to respond.
Interviewee: Gitte Frandsen, Teaching Assistant Professor, English, College of Arts and Sciences
Join us for this rich conversation about the ways in which we need to consider some of the ways in which LLM's may reproduce bias and reinforce the belief that standard English is the only acceptable and "right" way to assess learning.
Interviewees: Dr. Jacklynn Fitzgerald, Assistant Professor, Pyschology, College of Arts and Sciences, Dr. Gabe Velez, Associate Professor, Educational Policy and Leadership, College of Education, and Dr. Larry Zhiming Xu, Assistant Professor, Strategic Communication, College of Communication
Join us for this conversation about how important student/instructor relationships are in the discernment of generative technology. We discuss strategies and things to consider when allowing safe spaces to consider new generative technologies and the ways in which faculty play a significant role as models in this process.
Interviewees: Maxwell Gray, Digital Scholarship Librarian and Nicole Bungert, Student Success Librarian, Raynor Library
Join us for this conversation about the value and uses of this new Raynor Library student-facing guide. With an emphasis on critical thinking, reflection and practical strategies, we talk about the ways in which consistently messaging to your students your approaches to these tools in your own classroom can be supported with the thoughtful reflection questions and other tips provided.
More videos to come! Visit the CTL's Artificial Intelligence and Generative and Emerging Technologies Support for the Classroom for more AI information or click here to find additional AI teaching resources.
Email: ctl@marquette.edu
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