Events
Online
Apr
26
2024

Incorporating Generative AI into Learning Experiences Virtual Showcase

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 will take place on Friday, April 26, 2024 from 10:00 a.m. - 1:00 p.m. The event will take place online via Zoom.

Registration is now closed. Please visit the Registration Tab above for details on how to get access to resources and recordings from the event.

The showcase will highlight how faculty, staff, and faculty/staff/student teams from across Maryland higher education have engaged in the use of Generative AI as part of assignments and learning activities. How are we engaging students in the creation of authentic work while using Generative AI? What are critical ethical issues associated with the use of Generative AI in teaching? How might we foster career-ready skills associated with Generative AI as a part of students’ learning experiences?

Keynote speaker: We are delighted to welcome Dr. James Lang as our keynote speaker. 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. More information about Dr. Lang can be found under the Presenters tab.

Note: The showcase is intended for colleagues from across Maryland higher education institutions, and with that focus, we limited registrations to individuals affiliated with Maryland colleges and universities.

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 Address
Schedule Item Time: 
11:00 a.m. - 11:10 a.m.
Schedule Item Title: 
Transition
Schedule Item Time: 
11:10 a.m. - 11:30 a.m.
Schedule Item Title: 
Showcase 1
Schedule Item Time: 
11:30 a.m. - 11:40 a.m.
Schedule Item Title: 
Transition
Schedule Item Time: 
11:40 a.m. - 12:00 p.m.
Schedule Item Title: 
Showcase 2
Schedule Item Time: 
12:00 p.m. - 12:10 p.m.
Schedule Item Title: 
Transition
Schedule Item Time: 
12:10 p.m. - 12:30 p.m.
Schedule Item Title: 
Showcase 3
Schedule Item Time: 
12:30 p.m. - 12:40 p.m.
Schedule Item Title: 
Transition
Schedule Item Time: 
12:40 p.m. - 1:00 p.m.
Schedule Item Title: 
Showcase 4

Agenda

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
  • Room B: Beat the Bot: Showing Students they can Outperform LLMs - Naomi Gades, Frostburg State University
  • 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
  • Room D: Impact of GenAI on Machine Learning Education: Empowering New Programmers - Prahlad Menon Gopalakrishna, University of Maryland Global Campus

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
  • Room B: “Someone’s Got to Do Something”: Negotiating Institutional Responses to ChatGPT by Engaging Generative AI - Samuel Collins and Patricia Westerman, Towson University
  • Room C: Defining Feedback within an AI Context - David Buck, Howard Community College
  • Room D: AI As Ally: Using Design and AI to Craft Original Content - Megan Rhee, University of Baltimore

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
  • 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
  • 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
  • Room D: Incorporating and Reflecting on Generative AI in a Writing-Intensive Seminar - Diane Alonso, University of Maryland, Baltimore County

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
  • Room B: Crafting a Cohesive Generative AI Learning Strategy for a Graduate Program - Ron Wilson, University of Maryland, Baltimore County
  • Room C: Evaluating AI’s Ability to Perform Journalism Tasks - Derek Willis, University of Maryland, College Park
  • Room D: Garbage In, Garbage Out: Generative AI and Race and Gender Stereotypes - Lari Warren-Jeanpiere and Marni Finkelstein, University of Maryland Global Campus

Or, you can:

Download the program
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. Please complete the following form to get access to resources and recordings from the event.

 If you have any questions, please reach out to cai@usmd.edu.