Organizing CommittEe

Hasan Abu-Rasheed is a postdoctoral researcher in the field of artificial intelligence in education, with a particular focus on explainable AI (XAI), knowledge graphs, and semantic technologies. He is working at Goethe University Frankfurt, Germany, where he contributes to the development of AI-driven tools for higher education, ranging from intelligent dialogue systems (chatbots) to agent-based workflows for semantic information extraction and explainable learning analytics and feedback. His research investigates the strategic and operational integration of AI technologies in teaching and learning processes, as well as the development of knowledge graphs as semantic infrastructures for AI systems and the explainability of decision-support tools in education. Through this work, he aims to develop neuro-symbolic AI approaches that not only learn from data but also reason with domain knowledge, ensuring that AI systems are not merely black boxes, but collaborative and interpretable partners in education.
He is also an organizing member of the Joint European Summer School for Technology Enhanced Learning since 2024, as well as a member of the organizing team of the workshop on XAI in Education (XAI-Ed), as a art of EC-TEL2024, AIED2025, and LAK2026 conferences.

Gabriella Casalino is currently an Assistant Professor (Tenure Track) at the Computational Intelligence Laboratory (CILab) of the Informatics Department of the University of Bari. Her research is focused on Computational Intelligence methods for interpretable data analysis. She is actively involved in eHealth, Data Stream Mining, and eXplainable Artificial Intelligence. Her work primarily focuses on the medical and educational domains. She holds membership in the IEEE Task Force on Explainable Fuzzy Systems, the Interdepartmental Center for Telemedicine of the University of Bari- CITEL, and the HELMeTO Task Force, which concentrates on Higher Education Learning Methodologies and Technologies Online. She is an active member of the computer science community and contributes by organizing committees of workshops and special sessions in prestigious international conferences such as ECAI and IEEE WCCI. Additionally, she is an Associate Editor for the international journals Scientific Reports, IEEE Transactions on Computational Social Systems, and Soft Computing. She is a Guest Editor for several special issues in IEEE SMC Magazine, IEEE Transactions on Computational Social Systems, and IEEE Systems Journal. She is a Senior member of the IEEE Society and has received several awards for her research, including the prestigious FUZZ-IEEE Best Paper award.

Daniele Di Mitri is a professor of Multimodal Learning Technologies at the German University of Digital Science. At the German UDS, he leads the research group "Augmented Feedback" and coordinates the master's in Advanced Digital Realities.  He is an associated researcher at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele Di Mitri received his PhD in Learning Analytics and Wearable Sensor Support from the Open University of the Netherlands. His current research focuses on developing AI-driven, multimodal learning technologies to enhance digital education. It aims to create innovative, responsible solutions that improve learning experiences through advanced feedback systems and ethical integration of technology. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German Informatics Society. He is a member of the CrossMMLA, a special interest group of the Society for Learning Analytics Research, and the chair of the special interest group on AI for Education of the European Association for Technology-Enhanced Learning.

Daniele Schicchi is a researcher specializing in Information and Communication Technology, with extensive experience in academic and research institutions, including the University of Palermo and the Institute for Educational Technology at CNR Italy. His research focuses on Artificial Intelligence, particularly its applications in education and natural language processing, with expertise in learning analytics, educational data mining, and text simplification through machine learning techniques. He has contributed to the organization of international conferences (e.g., EDM 2025) and workshops on AI and education (e.g., AIxEDU24). His research output includes significant contributions to AI applications in language processing and education, with notable publications in peer-reviewed journals such as Interactive Learning Environments.

Davide Taibi is a Senior Researcher with the Institute for Education Technology, National Research Council of Italy. He is also a part-time Lecturer with the Computer Science Department, University of Palermo. Since more than 20 years, he has been working in the educational technology research area, and his main research interests concern pedagogical applications to smart environments, learning analytics, enriched reality in education, AI in education and data literacy. He has coordinated two EU funded projects in the field of Data Literacy: DATALIT (Data Literacy at the interface of higher education and business), and DEDALUS (DEveloping DAta Literacy courses for University Students). Currently, he is leading two EU funded projects focused on Artificial Intelligence in Education named SMERALD (SMEs – Raising Awareness and Learning on Digital data, data analysis and artificial intelligence) and IDEAL (Integrating Data Analysis and AI in Learning experiences). He has also contributed as general chair to the organization of the 18th edition of the Educational Data Mining conference and as local chair to the 26th edition of the International Conference of Artificial Intelligence in Education.