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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 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 inĀ Advanced Digital Realities.Ā  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 forĀ Technology-Enhanced Learning.

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