Tag

AI

Francesca Joyce
In Academic Integrity, GenAI, Smeal Academy Sessions

GenAI Series: Empowering GenAI Responsible Use in Students

This session explores best practices for guiding students in the responsible and ethical use of Generative AI (GenAI). As AI becomes an integral part of teaching, learning, and business, it is crucial to establish clear expectations, teach students how to craft effective prompts, and help them critically evaluate AI-generated content.

In this session, we:

  • Explore the benefits and challenges of GenAI in student learning.
  • Discuss strategies for integrating AI into coursework while maintaining academic integrity.
  • Provide hands-on activities for crafting effective prompts and verifying AI outputs.
  • Address ethical considerations, transparency in AI use, and student concerns.
  • Offer practical tools for detecting AI misuse and fostering responsible engagement.
Francesca Joyce
In Assessment, GenAI, Smeal Academy Sessions

GenAI Series: Rethinking Teaching and Assessment in the Age of AI

Generative AI (GenAI) is transforming the landscape of teaching and learning, yet many faculty members struggle with when, how, and whether to incorporate it into their courses. This resistance may stem from their own concerns, hesitation about its use for various reasons, or academic integrity concerns, as well as skepticism from students. This practical session provides practical strategies to address these challenges while also highlighting the opportunities GenAI offers to enhance teaching and learning. The session focuses on designing assignments that leverage GenAI as a tool to foster deeper engagement, critical thinking, and skill development. Participants will discuss how to:

  • Explore use cases for AI-inclusive assignments that foster student learning.
  • Create AI-resistant assessments.
  • Cultivate AI literacy by helping students critically evaluate AI outputs, understand its limitations, and use it responsibly.

Rather than viewing GenAI as a threat, this session explores strategies to reimagine assignments in ways that both protect academic integrity and help prepare students for an AI-driven business world.

 

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