Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 18th Apr 2026, 06:17:10pm EEST
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Agenda Overview |
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Keynote Session 4
Oscar Karnalim (Dean of the Faculty of Smart Technology and Engineering, Maranatha Christian University, Indonesia)"Reconciling Generative AI with Academic Ethics in Classrooms: Conflict or Collaboration?"The speaker: Oscar Karnalim is an associate professor and the dean of the Faculty of Smart Technology and Engineering, Maranatha Christian University, Indonesia. He completed his PhD at the University of Newcastle, Australia. He serves as Editor in Chief of Sage’s Journal of Educational Technology Systems and as an editorial board member of four Scopus-indexed journals. His research interests include software engineering, learning technologies, and artificial intelligence. He is continuously developing automated technologies to maintain academic integrity. Oscar has published over 120 academic papers, with more than 1,400 citations. His Google Scholar H-Index is 21, while his Scopus H-Index is 16. Oscar has been involved in many international research and community service collaborations. His collaborators are from Australia, Canada, the USA, the Netherlands, and the UK. He received several awards, including the Michael E. Auer Young Scientists Award (IETI, 2025) and the Best Dissertation Award in the Field of Engineering Education (IEEE Education Society, 2024). He is also an IEEE senior member and a fellow of the United Board for Christian Higher Education in Asia. | ||
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Abstract: Generative Artificial Intelligence (GenAI) has profoundly reshaped academia. With students increasingly engaging with these technologies, upholding academic integrity has become a growing concern. The talk examines the tension and potential harmony between student use of GenAI and the principles of academic ethics. It explores whether these technologies compromise genuine learning and honest authorship, or whether they can be ethically integrated to support creativity, critical thinking, and academic growth. The discussion offers practical guidelines for responsible and meaningful student use of GenAI while maximising its educational advantages. The talk argues that harmonising generative AI with academic ethics is crucial to fostering both integrity and innovation in student scholarship. | ||
| No contributions were assigned to this session. |
