Call for papers C1

ICCE 2021 Sub-Conference on Artificial Intelligence in Education/Intelligent Tutoring Systems (AIED/ITS)

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):

• Affective Modeling
• Architectures (distributed, agent-based, web-based)
• Assessments
• Authoring Systems
• Cognitive Engineering
• Context-Aware Learning Environments
• Educational Data Mining and Learning Analytics
• Game-Based Learning Systems
• Innovative Applications
• Instructional Planning and Strategies
• Interaction Design and Novel Learning Interfaces
• Intelligent Pedagogical Agents and Learning Companions
• Knowledge Modelling and Representation
• Learner and Student Modeling
• Machine Learning in Education
• Natural Language and Dialogue
• Ontology, Metadata and Linked open data
• Semantic Web technologies, Service-oriented architectures
• Self-regulation Learning and Metacognition
• Tutoring strategies
• Web intelligence
• Virtual and Augmented Reality

We welcome contributions that report accomplished research as well as work in progress. Papers that describe innovative architectures and models (e.g. Deep-Learning-Based 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

• Full paper (8-10 pages)
• Short paper (5-6 pages)
• Poster paper (2-3 pages)

Important Dates

PC executive chair
Kazuhisa SETA, Osaka Prefecture University, Japan
PC co-chair
Patcharin PANJABUREE, Mahidol University, Thailand
Nguyen-Thinh LE, Humboldt-Universität zu Berlin, Germany
Valéry PSYCHÉ, Université TÉLUQ, Canada
PC members
Sagaya Amalathas, Taylors University, Malaysia
Ryan Baker, University of Pennsylvania, United States
Kritya Bunchongchit, Mahidol University, Thailand
Chih-Yueh Chou, Yuan Ze University, Taiwan
Philippe Fournier-Viger, Harbin Institute of Technology, China
Claude Frasson, University of Montreal, Canada
Yuki Hayashi, Osaka Prefecture University, Japan
Bastiaan Heeren, Open University, The Netherlands
Tomoya Horiuchi, Kobe University, Japan
Sharon Hsiao, Arizona State University, United States
Akihiro Kashihara, The University of Electro-Communications, Japan
Tomoko Kojiri, Kansai University, Japan
Tatsuhiro Konishi, Shizuoka University, Japan
Noboru Matsuda, North Carolina State University, United States
Tatsunori Matsui, Waseda University, Japan
Tanja Mitrovic, University of Canterbury, New Zealand
Riichiro Mizoguchi, Japan Advanced Institute of Science and Technology, Japan
Roger Nkambou, Université du Québec à Montréal, Canada
Ange Tato, Université du Québec à Montréal, Canada
Jose Luis Perez De La Cruz, Universidad de Malaga, Spain
Elvira Popescu, University of Craiova
Ma. Mercedes T. Rodrigo, Ateneo de Manila University, Philippines
Olga C.Santos, aDeNu Research Group, Spain
John Stamper, Carnegie Mellon University, United States
Thepchai Supnithi, NECTEC, Thailand
Benedict Du Boulay, University of Sussex, United Kingdom