Developing and Testing Generative AI Instruction for Learners: Meeting the Current and Evolving Need

Wednesday, November 12, 2025 | 1:00PM–1:45PM ET
Session Type: Breakout Session
Delivery Format: Presentation/Panel Session
As with any new technology, generative AI tools can only reach their positive potential (and avoid negative consequences) when users know how to use them appropriately and effectively. Given the unprecedented speed of generative AI’s adoption and evolving capabilities, a key challenge with this particular technology is equipping users with the relevant knowledge and skills, at scale, and in an iteratively updated manner. Our project seeks to address this challenge via a set of online instructional modules on generative AI designed with an emphasis on three distinctive features: a “learning engineering” approach applied to enhance learning gains derived from the modules; robust and systematically collected data used to guide the work before, during, and after instructional design; and scaling (i.e., disseminating to a large audience) and sustainability (i.e., maintaining up-to-date information) as primary design considerations. This session will describe the process used to conceptualize, create, and iterate our online modules. Major steps discussed will include identifying the target audience; conducting a needs assessment; designing the instruction based on evidence-based practices and subject-matter expertise; analyzing data from a randomized, controlled study; and using results to guide ongoing improvements. Participants will experience the process through hands-on activities and by mapping to strategies at their institutions.            
 

Presenters

  • Judy Brooks

    Director of Design, Technology-Enhanced Learning & Online Programs, Carnegie Mellon University

  • Marsha Lovett

    Vice Provost for Teaching & Learning Innovation, Carnegie Mellon University

Resources & Downloads

  • Developing and Testing GenAI instruction Slide Deck

    Updated on 6/29/2026

  • Developing and Testing GenAI Handout

    Updated on 6/29/2026