ITS2021 is the 17th Conference of the series of Intelligent Tutoring Systems Conferences on Computer and Cognitive Sciences, Artificial Intelligence and Deep Learning in Tutoring and Education.
The theme of the conference is “INTELLIGENT TUTORING SYSTEMS IN AN ONLINE WORLD”.
The conference will be held in Athens, Greece, in June 2021.
Topics of Interest include, but are not limited to:
- Intelligent Tutoring
- Learning Environments for Underrepresented Communities
- Artificial Intelligence in Education
- Human in the Loop, Understanding Human Learning on the Web in a Virtual (Digital) World
- Machine Behaviour (MB), Explainable AI, Bias in AI in Learning Environments
- Emotions, Modeling of Motivation, Metacognition and Affect Aspects of Learning, Affective Computing and ITS
- Extended Reality (XR), Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR) in Learning Technologies
- Informal Learning Environments, Learning as a Side Effect of Interactions
- Collaborative and Group Learning, Communities of Practice and Social Networks
- Analytics and Deep Learning in Learning Systems, Educational Datamining, Educational Exploitation of Data Mining and Machine Learning Techniques
- Sentiment Analysis in Learning Environments
- Data Visualisation in Learning Environments
- Privacy, Security and Ethics in Learning Environments
- Gamification, Educational games, Simulation-based Learning and serious games
- Brain-Computer Interface applications in Intelligent Tutoring Systems
- Dialogue and Discourse During Learning Interactions
- Ubiquitous, Mobile and Cloud Learning Environments
- Virtual Pedagogical Agents and Learning Companions
- Multi-Agent and Service-Oriented Architectures for Learning and Tutoring Environments
- Single and GroupWise Action Modelling in Learning Environments
- Ontological Modeling, Semantic Web Technologies and Standards for Learning
- Empirical Studies of Learning with Technologies
- Instructional Design Principles or Design Patterns for Educational Environments
- Authoring Tools and Development Methodologies for Advanced Learning Technologies
- Domain-Specific Learning Technologies, e.g. Language, Mathematics, Reading, Science, Medicine, Military and Industry
- Non-Conventional Interactions between Artificial Intelligence and Human Learning
- Personalized and Adaptive Learning Environments
- Adaptive Support for Learning, Models of Learners, Diagnosis and Feedback
- Recommender Systems for Learning
- Causal Modelling and Constraints-based Modelling in Intelligent Tutoring
Event | Dates |
ITS 2021 Selected Workshops and Tutorials | 07/08-06-2021 |
ITS 2021 Conference | 09/11-06-2021 |
DEADLINES
by 11:59 pm Pacific Time |
Submission | Acceptance Notification | Final Version Due |
Full Papers (10 pages) | January 31, 2021 | March 12, 2021 | March 31, 2021 |
Short Papers (6 pages) | January 31, 2021 | March 12, 2021 | March 31, 2021 |
Posters (4 pages) | January 31, 2021 | March 12, 2021 | March 31, 2021 |
Doctoral Consortium (4 pages) | January 31, 2021 | March 12, 2021 | March 31, 2021 |
Workshop Proposals | January 31, 2021 | March 12, 2021 | May 24, 2021 |
Tutorial Proposals | January 31, 2021 | March 12, 2021 | May 24, 2021 |
Industry Track Proposals | January 31, 2021 | March 12, 2021 |
SUBMISSION INSTRUCTIONS
ITS2021 papers should be original and not published or submitted to any other journal or conference.
The ITS2021 Proceedings are published in the Lecture Notes in Computer Science series (LNCS) by Springer.
All paper submissions should be made through Springer’s OCS platform: Authors should use the only function “submit your abstract” provided by OCS to submit their paper which includes an abstract.
Paper submissions should be in PDF.
Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their paper. Springer encourages authors to include their ORCIDs in their paper.
All questions about submissions should be emailed to info@iis-international.org