Abstract
Abstract Update: Based on original data from over 300 students, this project designs, tests, and implements new instructional pedagogies in experiential learning settings that ask students to employ entrepreneurial strategies when using AI. The project engages students in course modules in social entrepreneurship and engineering courses. The project takes a mixed-methods approach to matched quantitative and qualitative data to generate innovative pedagogies undergirded by an entrepreneurial mindset. We answer questions including: How does entrepreneurial problem solving enhance students’ ability to use AI appropriately? How can interdisciplinary perspectives optimize the development of curricular tools to be employed regarding AI use? For example, across disciplines, what digital skills do students need for critical thinking and misinformation identification when using AI? Our approach relies on learning-by-doing pedagogies in which students produce a curated work product through which they interact with and critically evaluate AI. Thanks to our learning-by-doing approach, our pedagogies provide students with enhanced learning experiences and critical reflection opportunities as they acquire critical AI skills that prepare them to understand and utilize AI-driven tools including effectively understanding AI as a tool to critically generate information, identify misinformation generated by AI, and problem solve in experiential learning settings. The results generate new approaches that may be used across disciplines that extend far beyond information verification, linking AI use to the broader entrepreneurial mindset rooted in Initiative and Self-Reliance; Critical Thinking and Problem Solving; Comfort with Risk; Flexibility and Adaptability; Communication and Collaboration; Opportunity Recognition; Creativity and Innovation; and Future Orientation.
Presenters
Laura RobinsonStudent/Professor Team, Sociology, SCU, California, United States Christina Dai
Student, Computer Science & Psychology, Santa Clara University, California, United States Katia Moles
Assistant Teaching Professor, Engineering, Santa Clara University, California, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
AI, Higher Education, Digital Tools, Experiential Learning, Entrepreneurial Pedagogies
