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Building AI Literacy

AI Literacy Through Experiential Learning

Strategy: Teach AI Literacy Through Business-Centered, Experiential Learning.

AI concepts can be made accessible to non-technical learners by grounding instruction in real-world business applications, collaborative problem-solving, and ethical inquiry. By emphasizing practical use cases, scenario-based learning, and reflection over technical implementation, instructors can build foundational AI literacy while supporting meaningful engagement and professional relevance in online graduate courses. 

ISM 6930 – Fundamentals of AI 

In ISM 6930 Fundamentals of AI, Dr. Triparna de Vreede partnered with Learning Designer Chad Garcia, Ph.D. to design a graduate-level course that introduces AI fundamentals to business students without requiring a technical or programming background. Throughout this course, students engaged in practical, hands-on learning activities designed to demystify AI concepts without requiring coding. These included exercises such as a Digital Scavenger Hunt, which encouraged students to identify and analyze AI applications in everyday and professional environments, as well as group projects focused on solving authentic business problems using AI-informed strategies. 

Ethical considerations were intentionally integrated alongside technical content through scenario-based learning activities, prompting students to examine responsible AI use, bias, and decision-making in organizational contexts. While the course primarily focuses on teaching about AI rather than extensive AI use within delivery, students were introduced to a range of AI tools and platforms for reference and exploration.