PD26-03 Generative AI Literacy for Educational Researchers: Understanding Systems, Applications, and Implications

Session Type: Professional Development Course

Abstract

This course provides essential literacy skills for Generative Artificial Intelligence (GAI) systems, combining technical understanding with critical analysis of societal implications. Attendees will learn to: (1) navigate current GAI landscapes, (2) understand how GAI systems work and differ from other computing paradigms, (3) demonstrate effective prompt engineering, (4) design appropriate GAI system evaluation, (5) identify and analyze bias in GAI systems, (6) evaluate GAI long run behavior and appropriate application in research settings, (7) understand the range of systems, applications and media currently in use, and (8) develop personal frameworks for responsible GAI engagement in research & learning contexts. The course combines interactive lectures, extensive hands-on activities with free web-based tools, and structured group discussions. Critical examination of training bias, algorithmic fairness, and educational equity concerns are woven throughout. This course targets researchers and practitioners at all career stages. No technical background is required, though familiarity with educational research methods commensurate with a first graduate level course is assumed. Participants must bring a laptop with network access. An email account ending in “.gmail” is essential for some activities. Preparatory materials can be found at bit.ly/AERA_2026_GenAI.

Sub Unit

• Professional Development and Training Committee

Directors

• Peter W. Foltz, University of Colorado - Boulder

• Golnaz Arastoopour Irgens, Vanderbilt University