IEEE Türkiye Section Education Seminar Series - 4 'When AI Solves the Problem, What Does It Mean to Learn?'
Generative AI is rapidly reshaping how students engage with engineering and computing education. These changes challenge long-standing assumptions about learning, assessment, and academic integrity. Yet, despite their urgency, we still do not have clear answers.
This session does not aim to provide a how-to guide or a definitive framework. Instead, it offers an inquiry-driven and provocative exploration of the questions educators should be asking.
The discussion focuses on key tensions. If AI can generate correct solutions, what does it mean to understand? If traditional assignments can be completed by AI, what are we actually assessing? How should learning experiences be redesigned in response?
The presenter will draw on classroom experiments, including both successes and failures, and share concrete examples of integrating generative AI into engineering and computing courses. These examples will serve as a foundation for collective reflection.
Participants will leave with a sharper set of questions, practical ideas for experimentation, and a framework for navigating uncertainty in their teaching, rather than a set of prescribed solutions.
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- Starts 23 May 2026 09:00 PM UTC
- Ends 06 June 2026 03:00 AM UTC
- No Admission Charge
Speakers
Olgun Sadik
Biography:
Dr. Olgun Sadik is a Senior Lecturer in Intelligent Systems Engineering at Indiana University Bloomington, where he teaches introductory courses and specializes in the integration of generative AI into engineering and computing education. With a background in instructional design and computer science education, his work focuses on creating student-centered learning environments that support problem-solving, reflection, and ethical use of emerging technologies.
Dr. Sadik has redesigned foundational engineering courses to improve student success and has led large-scale faculty and teacher training initiatives on AI in education. Since 2023, he has trained over 2,500 educators and students through workshops, keynotes, and hands-on sessions on using generative AI tools to enhance (or maybe diminish) teaching and learning.
His research explores how generative AI can support self-regulated learning, collaborative design, and instructional innovation in technical disciplines. He has published in leading journals and regularly presents at national and international conferences, including SITE and AECT. Dr. Sadik is a recipient of Indiana University’s 2024 Trustees Teaching Award and is recognized for his leadership in advancing ethical, practical, and scalable AI integration in education.
Address:United States
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