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CfP Advances in Neural and Hybrid Architectures for Education workshop

🌐 Special Session Announcement — IEEE WCCI 2026

We are pleased to share that the Special Session ā€œAdvances in Neural and Hybrid Architectures for Educationā€ has been accepted within IEEE WCCI 2026, which will take place in Maastricht from 21 to 26 June 2026.

šŸ“Œ Motivation & Scope
Artificial Intelligence and Neural Networks are increasingly shaping the way we understand and support human learning. Modern educational environments produce large amounts of multimodal and dynamic data—from learner interactions to behavioural and cognitive signals—which can be modelled through neural and hybrid approaches to design intelligent, adaptive, and personalised learning systems.
This Special Session aims to bring together researchers working at the intersection of neural computation, learning analytics, cognitive modelling, and educational technologies. We welcome contributions on deep learning architectures, neuro-symbolic approaches, hybrid reasoning models, explainability in educational AI, affective computing, personalisation strategies, and ethical aspects in human-centred learning systems.

🧭 Topics of Interest include (but are not limited to):
• Neural and hybrid architectures for learning analytics and adaptive education
• Deep learning for learner modeling and performance prediction
• Cognitive and affective modeling in educational contexts
• Personalization and recommendation in intelligent tutoring
• Neuro-symbolic and hybrid reasoning for educational data
• Explainability, fairness, and trust in educational AI
• Multimodal and temporal learning data
• Human-centered design and evaluation of educational AI
• Knowledge graphs and AI for personalization, analytics, and ethics

šŸ‘„ Organizers
- Hasan Abu-Rasheed (Goethe University Frankfurt)
- Gabriella Casalino (UniversitĆ  degli Studi di Bari )
- Daniele Di Mitri (German University of Digital Science)
- Daniele Schicchi (CNR ITD - Istituto Tecnologie Didattiche)
- Davide Taibi (CNR ITD - Istituto Tecnologie Didattiche)

šŸ“… Paper Submission Deadline
January 31, 2026 (23:59 AoE, UTC-12) — no extension will be given

šŸ“„ Full paper: 6 pages, IEEE conference format

šŸ”— More information: https://lnkd.in/dzuapfYe

Published by Daniele Di Mitri

Daniele Di Mitri is a research group leader at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele received his PhD entitled "The Multimodal Tutor" at the Open University of The Netherlands (2020) in Learning Analytics and wearable sensor support. His research focuses on collecting and analysing multimodal data during physical interactions for automatic feedback and human behaviour analysis. Daniele's current research focuses on designing responsible Artificial Intelligence applications for education and human support. 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 editorial board of Frontiers in Artificial Intelligence journal, a member of the CrossMMLA, a special interest group of the Society of Learning Analytics Research, and chair of the Learning Analytics Hackathon (LAKathon) series.

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