Call for Papers – C1: AIED/ITS
ICCE 2024 Sub-Conference on Artificial Intelligence in Education/Intelligent Tutoring System (AIED/ITS) and Adaptive Learning
The ICCE C1 sub-conference on AIED/ITS & Adaptive Learning focuses on research and development of interactive and adaptive learning environments for learners of all ages, across all domains. The conference provides opportunities for the cross-fertilization of knowledge and ideas from researchers in many fields that make up this interdisciplinary research area, including artificial intelligence, computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology and linguistics. It also includes many domain-specific areas for which AIED/ITS systems have been designed and built, including ITS for ill-defined domains. Possible topics in the context of AIED/ITS systems that papers may address include (but are not limited to):
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Affective Modeling
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AI-Assisted Tutoring, Scaffolding and Recommendations
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Architectures (distributed, agent-based, web-based)
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Assessments
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Authoring Systems
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Cognitive Engineering
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Context-Aware Learning Environments
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Educational Data Mining and Learning Analytics
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Fairness and Explainability of AI Systems in Education
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Game-Based Learning Systems
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Instructional Planning and Strategies
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Interaction Design and Novel Learning Interfaces
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Intelligent Pedagogical Agents and Learning Companions
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Knowledge Modelling and Representation
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Learner and Student Modeling
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Machine Learning and Generative AI in Education
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Natural Language and Dialogue
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Ontology, Metadata, Linked Open Data, and Semantic Web Technologies
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Open-Ended Learning Environments, Ill-Defined Domains
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Self-Regulation Learning and Metacognition
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Tutoring strategies
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Virtual and Augmented Reality
We welcome contributions that report accomplished research as well as work in progress. Papers that describe innovative architectures and models, discuss results from AIED/ITS systems in use, and present evaluations of AIED/ITS systems are strongly encouraged. The conference also welcomes research works dealing with innovative ideas (theoretical or conceptual) that have the potential for significant impact on future research in AIED/ITS field.
Paper Categories
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Full paper (8-10 pages) – presents original and mature research
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Short paper (5-6 pages) – presents work in progress and preliminary studies
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Poster paper (2-3 pages) – presents emerging research/ideas
Program Committee
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PC Executive Chair
Sébastien LALLÉ, Sorbonne University, France
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PC Co-chair
Luc PAQUETTE, University of Illinois at Urbana-Champaign, USA
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SIG Chair
Michelle P. BANAWAN, Asian Institute of Management, Philippines
