Sponsored by MarylandOnline, Montgomery College, the University System of Maryland William E. Kirwan Center for Academic Innovation, and the USM Council of University System Faculty
The Incorporating Generative AI into Learning Experiences virtual showcase took place on Friday, April 26, 2024 from 10:00 a.m. - 1:00 p.m. online via Zoom.
Recordings and Materials from the Showcase are available under the Program tab.
If you have any questions, please reach out to cai@usmd.edu
Location
Online
Date
April 26, 2024 from 10:00 a.m. - 1:00 p.m. ET
Cost
No cost
Schedule Items:
Schedule Item Time:
10:00 a.m. - 11:00 a.m.Schedule Item Title:
Welcome and Keynote AddressSchedule Item Time:
11:00 a.m. - 11:10 a.m.Schedule Item Title:
TransitionSchedule Item Time:
11:10 a.m. - 11:30 a.m.Schedule Item Title:
Showcase 1Schedule Item Time:
11:30 a.m. - 11:40 a.m.Schedule Item Title:
TransitionSchedule Item Time:
11:40 a.m. - 12:00 p.m.Schedule Item Title:
Showcase 2Schedule Item Time:
12:00 p.m. - 12:10 p.m.Schedule Item Title:
TransitionSchedule Item Time:
12:10 p.m. - 12:30 p.m.Schedule Item Title:
Showcase 3Schedule Item Time:
12:30 p.m. - 12:40 p.m.Schedule Item Title:
TransitionSchedule Item Time:
12:40 p.m. - 1:00 p.m.Schedule Item Title:
Showcase 4Agenda
10:00 a.m. - 10:10 a.m. Welcome and Overview
10:10 a.m. - 11:00 a.m. Keynote Address - From Academic Integrity to Assessments: Principles for Artificial Intelligence in Higher Education
Presenter: James Lang, Professor of Practice, Kaneb Center for Teaching Excellence, University of Notre Dame & Emeritus Professor of English, Assumption University
11:00 a.m. - 11:10 a.m. Transition
11:10 a.m. - 11:30 a.m. Showcase 1
- Room A: How to Teach Students to Use Generative Artificial Intelligence Responsibly: Lessons from Clinical Psychology - Amanda Draheim, Goucher College Watch Recording
- Room B: Beat the Bot: Showing Students they can Outperform LLMs - Naomi Gades, Frostburg State University Watch Recording
- Room C: Navigating the AI Wave: Empowering Higher Education Through Generative AI - Amr Kadry, Jessica A. Stansbury, and Julia Goffredi, University of Baltimore; and Sarah Lausch, Boise State University Watch Recording
- Room D: Impact of GenAI on Machine Learning Education: Empowering New Programmers - Prahlad Menon Gopalakrishna, University of Maryland Global Campus Watch Recording
11:30 a.m. - 11:40 a.m. Transition
11:40 a.m. - 12:00 p.m. Showcase 2
- Room A: Generative AI: A New Frontier for Community College Pedagogy - Shawn Crosby, Community College of Baltimore County; Christina Gentile, Montgomery College; and Dana Gullo, Cecil College Watch Recording
- Room B: “Someone’s Got to Do Something”: Negotiating Institutional Responses to ChatGPT by Engaging Generative AI - Samuel Collins and Patricia Westerman, Towson University Watch Recording
- Room C: Defining Feedback within an AI Context - David Buck, Howard Community College Watch Recording
- Room D: AI As Ally: Using Design and AI to Craft Original Content - Megan Rhee, University of Baltimore Watch Recording
12:00 p.m. - 12:10 p.m. Transition
12:10 p.m. - 12:30 p.m. Showcase 3
- Room A: AI from Theory to Practice - Paul Miller, Montgomery College Watch Recording
- Room B: Harnessing AI for Student Success: Creating AI-Infused Course Assignments in the Arts and Sciences - Cody Sandifer, Luis Engelke, and Kelly Elkins, Towson University Watch Recording
- Room C: Preparing Instructors to Teach Responsible Use of AI Tools: A Cross-Campus Approach - Mona Thompson, Benjamin Shaw, and Daria Yocco, University of Maryland, College Park Watch Recording
- Room D: Incorporating and Reflecting on Generative AI in a Writing-Intensive Seminar - Diane Alonso, University of Maryland, Baltimore County Watch Recording
12:30 p.m. - 12:40 p.m. Transition
12:40 p.m. - 1:00 p.m. Showcase 4
- Room A: Streamlining Assessment Creation for Videos with ChatGPT - David M. Sheads and Hannah Katzen-Cramer, Mount Saint Mary’s University Watch Recording
- Room B: Crafting a Cohesive Generative AI Learning Strategy for a Graduate Program - Ron Wilson, University of Maryland, Baltimore County Watch Recording
- Room C: Evaluating AI’s Ability to Perform Journalism Tasks - Derek Willis, University of Maryland, College Park Watch Recording
- Room D: Garbage In, Garbage Out: Generative AI and Race and Gender Stereotypes - Lari Warren-Jeanpiere and Marni Finkelstein, University of Maryland Global Campus Watch Recording
James M. Lang
Professor of Practice, Kaneb Center for Teaching Excellence, University of Notre Dame & Emeritus Professor of English, Assumption University
James M. Lang is Professor of Practice at the Kaneb Center for Teaching Excellence at the University of Notre Dame, and an Emeritus Professor of English at Assumption University in Worcester, MA. He is the author of six books, the most recent of which are Distracted: Why Students Can’t Focus and What You Can Do About It, Small Teaching: Everyday Lessons from the Science of Learning, and Cheating Lessons: Learning from Academic Dishonesty. A sought-after speaker, he has given talks and workshops on teaching for faculty at more than three hundred colleges, universities, and schools in the U.S. and abroad, focused on topics such as the science of learning, distraction in the classroom, academic integrity, and navigating AI/ChatGPT.
Lang has consulted for the United Nations on the development of teaching materials in ethics and integrity for college faculty and is the recipient of a 2016 Fulbright Specialist Grant (Colombia). He has a BA in English and Philosophy from the University of Notre Dame, an MA in English from St. Louis University, and a Ph.D. in English from Northwestern University.
Special Discount on Cheating Lessons: Learning from Academic Dishonesty
Our keynote speaker is Dr. James Lang, Professor of Practice, Kaneb Center for Teaching Excellence, University of Notre Dame & Emeritus Professor of English, Assumption University. In his keynote presentation, Dr. Lang will be building from insights found in his 2013 book, Cheating Lessons: Learning from Academic Dishonesty, to discuss academic integrity in the era of generative AI. Harvard University Press is offering a special discount of 25% off the purchase of Cheating Lessons. Use code AIC25 on their website (https://www.hup.harvard.edu) between 4/19 to 5/3 to access the discount.
Arrangements for the appearance of James M. Lang made through RedBrick Agency, New York, NY.
Register
Thank you for your interest in the April 26th Generative AI showcase. Registration is now closed.
