The Faculty Advisory Council On Teaching and Technology (FACT2) charged a Task Group in May 2023 to research and explore how artificial intelligence (AI) can be optimized for teaching and learning. The committee received over 50 volunteers from 11 SUNY campuses, SUNY Online, and SUNY Administration. Faculty and staff from Southeastern University, University of Louisiana system, University of New Orleans, and Northwestern University also joined the committee to share their work in this area to enrich our efforts.
The committee’s first goal was to produce a preliminary report for faculty and instructional support specialists. This report explores the potential benefits and challenges associated with AI-based technologies and serves as a guide to add insight and value to those who read it. The task group will continue to add content and updated information to the report. They will also focus on faculty training and professional development to provide resources to help faculty engage their students with AI in a constructive way and more. We are still in the early stages of our work, cautiously excited about the potential of AI to transform higher education.
We know we are aiming at a moving target, yet we hope to provide you with insight, practical knowledge, and resources about AI. The authors are your colleagues: faculty, instructional specialists, directors, and administrators who are deeply concerned about AI. We’re seeking affirmative ways that we can adapt, adopt and share resources, experiences and strategies. This is dedicated to the spirit of collegiality in our community. We will continue to explore and share our efforts as the mission of this task group has just begun.
We’d like to hear about your experiences with products, strategies, assignments, and case studies that can be shared. Our future efforts will include a spring 2024 symposium and a presentation at the 2024 CIT Conference.
Task Group Co-chairs:
Billie Francini, SUNY Albany, and Jeffrey Riman SUNY FIT
Artificial intelligence leverages computers and machines to attempt to mimic the problem-solving and decision-making capabilities of the human mind.
Tasks may require human abilities such as perception, reasoning, problem solving, and understanding natural language. Large collections of data as well as new experiences are used by algorithms to find patterns and use them to take actions or make predictions/provide insights (IBM, 2023).