Skip to main content

Examining the usability and efficacy of Gen AI tools in creating impactful AI-infused learning experiences: A multi-campus action research project

Audeliz (Audi) Matias

Project Team
  • Co-PI #1 and Co-Research Lead: Deepa Deshpande, Ph.D., Associate Director of the Center for Innovation and Teaching Excellence (CITE) at SUNY Alfred State. Co-PI #2: Maria Bajwa, Ph.D., MBBS, MSMS, CHSE, Physician and Simulation Educator, College of Health Professions at SUNY Upstate Medical University Co-PI #3: Christina R. Hilburger, Senior Assistant Librarian, Research and Information Literacy Services Librarian at SUNY Fredonia. Co-PI #4: Lei Song, Instructional Designer, Center of Excellence in Learning and Teaching at Stony Brook University Co-PI #5: David Wolf, Director of Instructional Design and Online Learning at SUNY Schenectady

Empire State College

2025

IITG

$60,000.00

Project Abstract:

This multi-campus action research project aims to foster a culture of scholarship and innovation in teaching and learning with generative AI tools across SUNY institutions while promoting equitable learning outcomes across diverse campuses and disciplines. Recognizing the variations in faculty and student experiences with these tools, the project will explore strategies for inclusive AI integration. Fifty faculty members and their students from six campuses will engage in structured, collaborative learning experiences, leveraging advanced generative AI tools, such as ChatGPT Plus, Perplexity Pro, Claude Pro, and Gemini Pro. Faculty will develop and implement discipline-specific AI-infused assignments, refined through student-faculty partnerships using SWOT analysis, ensuring adaptability to different learning contexts. Comprehensive evaluations will assess the impact on AI literacy, critical thinking, problem-solving, collaboration, and metacognition, with a particular focus on disparities in the AI experience. Usability and efficacy metrics will be defined and assessed through a hybrid survey, generating robust evidence to inform best practices for AI integration in higher education. These insights will help prepare graduates for AI-intensive professional environments while ensuring that AI adoption supports diverse learning needs and experiences.

Project Outcome:

Project currently ongoing