AI tools have been increasingly utilized at workplaces. However, recent studies revealed a significant gap between the need and availability of college graduates who know how AI works and how to use AI tools. In this presentation, an Experiential Learning via AI-assisted Citizen Science (ELAICS) framework based on Kolb’s theory will be introduced to engage nutritional science students to conduct scientific inquiry and citizen science, with a guiding module targeting Credential, Collaboration, and Creation (shortened as “CCC” guiding module) that facilitates effective and responsible use of AI. Using pre- and post-intervention assessments of learning outcomes on a Likert scale from 1 (least proficient) to 7 (most proficient), we found the ELAICS framework significantly enhanced students’ discipline knowledge (4.28 – 4.62 before interventions vs 5.72 – 6.34 after interventions, p<0.0001), critical thinking and problem-solving skills (4.62 – 5.30 before interventions vs 5.98 – 6.50 after interventions, p<0.0001), as well as leadership, teamwork, and self-management skills (4.95 – 5.44 before interventions vs 6.25 - 6.34 after interventions, p<0.0001). The results suggest that the ELAICS framework can effectively equip students with discipline knowledge and employability skills. Attendees to the presentation will also learn practical strategies leveraging available AI tools to facilitate teaching and enhance students’ experiential learning.
600 Russell Street
Starkville, MS 39759
United States
Z. Drew Cheng, University of Florida