Approaching Assignment Design in Light of Artificial Intelligence

Artificial Intelligence (AI) is becoming increasingly prevalent in higher education and society at large. When designing assignments involving AI you might fall into one of two camps, those who encourage engagement with AI and those who discourage it. 

Designing Assignments in light of AI comprises a critical analysis that includes reflecting on learning goals, choosing teaching and learning methods that support attaining those goals, and determining what role AI should play in completing assignments as well as the affordances and limitations of specific AI applications.  

During this two-part series, participants will learn and explore evidence-based processes for designing assignments and hear about example assignments from university instructors who have designed assignments that incorporate AI. The first session will focus on designing approaching a single assignment or project while the second session will focus on designing approaching longitudinal assignments. 

After this workshop participants will be able to:

• for a given assignment/activity, identify the critical points of intersection between the capacities, affordances, and limitations of AI and the learning goals/needs of students
• craft an assignment/activity study or project in their discipline that they can use with students immediately in a course design, whether current or in the future
• incorporate transparent and clear directions about approaching and completing the assignment/activity

Workshop Materials

Session 1

• Recording
  • This recording is intended for workshop participants to review. Please direct any additional requests for access to the Drake Institute (drakeinstitute@osu.edu)
• Presentation
• Handout (Cues and Clues to Diagnose Critical Points of Intersection between the capacities of AI and the learning goals/needs of students) 

Session 2

• Recording
  • This recording is intended for workshop participants to review. Please direct any additional requests for access to the Drake Institute (drakeinstitute@osu.edu)
• Presentation
• Handout

Resources

Ohio State University Resources

• Teaching and Learning Resource Center -  
  • AI: Considerations for Teaching and Learning 
  • AI Teaching Strategies: Transparent Assignment Design
  • AI Teaching Strategies: Having Conversations with Students
• Office of Academic Affairs - Artificial intelligence and academic integrity
• Artificial Intelligence Offers Opportunities and Challenges for Teaching: Perspectives from the Drake Institute
• Committee on Academic Misconduct
• COAM Instructor Resources
• Don’t Fall Victim to Clickthrough Agreements: Use Supported Tools Instead
• Copilot with Data Protection Now Available to University Faculty and Staff
• Copilot - Administrative Resource Center

Additional Resources

Sites with assignment ideas:

• AI in Assignment Design
• Artificial Intelligence and Assignment Design
• AI in the Classroom
• ChatGPT Assignments to Use in Your Classroom Today
• How Do I (Re)design Assignments and Assessments in an AI-Impacted World?
• Generative AI for Assessments Guide
• Assignments and Generative AI - Center for Faculty Excellence | Montana State University
• AI in Assignment Design | Center for Teaching Innovation (cornell.edu)
• Kimmons, R., Graham, C. R., & West, R. E. (2020). The PICRAT model for technology integration in teacher preparation. Contemporary Issues in Technology and Teacher Education, 20(1). https://citejournal.org/volume-20/issue-1-20/general/the-picrat-model-for-technology-integration-in-teacher-preparation
• PICRAT: A Model for Analyzing Classroom Technology Integration | U-M LSA LSA Technology Services (umich.edu)