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Generative AI and Transparent Design in Research Assignments

Anne Zald and Michelle Guittar

Session Facilitators: Anne Zald (Libraries), Michelle Guittar (Libraries)

Introduction

Research from Project Information Literacy (RIL) and Transparency in Learning and Teaching (TILT) Higher EdLinks to an external site. provide insights into what promotes student success on research assignments. This workshop will introduce these research findings, then proceed to activities that provide workshop participants the opportunity to apply the “Purpose, Tasks, Criteria” assignment review framework developed by TILT Higher Ed. Starting with analysis of activities designed for use in library instruction sessions, interacting with current generative AI (GAI) tools, the workshop will also analyze examples of research assignments developed by faculty, how those are communicated to students, and how research assignments might be modified or changed in light of new technologies.

By the end of this session, participants will be able to:

  • Apply TILT Higher Ed’s transparency framework (i.e., Purpose, Task, Criteria) to revise their design of research assignments
  • Analyze faculty research assignment handouts using the framework to negotiate with faculty on content issues for research-assignment-related library instructions
  • Guide students’ interrogation and use of GAI tools during the research process

Session recording

Slides and resources

License

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Reimagining Assessment: Strategies to Maximize Student Learning and Growth Copyright © by Northwestern University Faculty and Staff is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, except where otherwise noted.

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