LabDERE/CIIE Seminar
Introduction to Artificial Intelligence in Education
LabDERE/CIIE is organising the seminar “Introduction to Artificial Intelligence in Education”, which will take place on 18 May 2026, from 6:00 pm to 9:00 pm, at FPCEUP (Room 255 – LabDERE), with the possibility of online participation.
The seminar will address the following topics:
- Evolution of AI in education
- Generative AI tools (e.g. ChatGPT) in learning environments
- Opportunities and challenges of AI‑supported education
The training will be delivered by Assoc. Prof. Dr. Eylem Kılıç, Associate Professor and researcher holding PhDs in Environmental Engineering (Universitat Politècnica de Catalunya, Spain) and Leather Engineering (Ege University, Turkey). Her academic and scientific career is distinguished by her work in Life Cycle Assessment (LCA), environmental assessment, and circular economy strategies.
This seminar aims to contribute to a critical and well‑grounded understanding of the role of artificial intelligence in contemporary educational contexts.
Free registration, but mandatory: https://forms.gle/XWVRHERvRGisyJ3L8
Online session: Dr. Eylem Kiliç | Reunião-Participar | Microsoft Teams
Location
Porto, FPCEUP, room 255 - LabDERE
Online
Schedule
Start date: 18:00 - 18 May 2026
End date: 21:00 - 18 May 2026
Speakers
Professor Dr Eylem Kılıç is a member of staff in the Department of Educational Sciences, Division of Instructional Technologies, at Van Yüzüncü Yıl University. She completed her undergraduate degree in Computer Education and Instructional Technologies at Ankara University and obtained her PhD in the Computer Education and Instructional Technologies programme at Middle East Technical University. She began her academic career as a research assistant at Middle East Technical University and subsequently took up a faculty position at Van Yüzüncü Yıl University. She has also carried out research and research visits at international institutions such as Arizona State University, the Open Universiteit (the Netherlands) and Bard College Berlin.
Her research interests include educational technologies, artificial intelligence in education, cognitive load theory and technology acceptance models. Her studies examine the effects of emerging technologies—such as generative AI tools (e.g. ChatGPT), interactive whiteboards, social media and learning management systems—on learning processes, motivation and user behaviour. In this context, her research on topics such as technology acceptance, AI anxiety and digital literacy draws on theoretical frameworks such as the Technology Acceptance Model (TAM) and employs advanced data analysis methods, including CHAID and PLS‑SEM. Her work also addresses multimedia learning environments, working memory and instructional design processes.
In recent years, she has conducted research—particularly with engineering students—on algorithmic literacy and the growing algorithmic divide in society. Dr Kılıç’s work has been published in international journals such as Computers & Education: Artificial Intelligence, Humanities and Social Sciences Communications, Interactive Learning Environments, Computers in Human Behavior, Educational Technology & Society and the Journal of Educational Computing Research.