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Title:
Bridging the Gap: Promoting Mindful and Reflective Use of Generative AI in Undergraduate Engineering and Computing Education

Abstract:
The rapid integration of generative AI (GenAI) tools in education has significantly disrupted traditional teaching and learning practices, presenting both opportunities and ethical challenges. This talk presents a comprehensive evaluation of the “AI-Lab,” a structured pedagogical intervention designed to encourage mindful and reflective student engagement with GenAI within early undergraduate computer science and engineering courses.

Drawing on quantitative survey data (n=831) and qualitative insights from student focus groups over multiple semesters at Purdue University, our findings reveal that structured scaffolding of GenAI usage improves students’ self-reported comfort and openness towards employing these tools across a range of educational applications. Notably, students maintained a stable frequency of GenAI usage but demonstrated a shift towards mindful and deliberate engagement, critically assessing AI-generated outputs and becoming more cognizant of GenAI’s limitations.

These insights challenge prevalent concerns about potential overreliance and academic dishonesty associated with AI tools, highlighting instead their potential as powerful aids for learning when integrated thoughtfully into curricula. The talk will conclude by discussing practical implications for educators aiming to effectively harness GenAI, suggesting strategies to balance technological innovation with educational integrity.

Bio:
Ethan Dickey is a fifth-year PhD student in the Department of Computer Science at Purdue University, co-advised by Professors Sabre Kais and Alex Psomas. His research spans two distinct fields: quantum computing theory and generative AI in education. Ethan currently investigates how generative AI technologies impact student learning, instructional methods, and course design in undergraduate computing contexts, funded by Purdue's Innovation Hub. With four years of teaching experience in computer science and recent recognition through the OGSPS Excellence in Teaching Award, Ethan actively develops and evaluates AI-driven tools aimed at enhancing student engagement, conceptual understanding, and instructional effectiveness.

AI-Lab Framework proposal paper:
Dickey, E., Bejarano, A. & Garg, C. AI-Lab: A Framework for Introducing Generative Artificial Intelligence Tools in Computer Programming Courses. SN COMPUT. SCI. 5, 720 (2024). https://doi.org/10.1007/s42979-024-03074-y