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The 22. International Conference on Artificial Intelligence in Education (AIED) 2021
Topics
- Promoting equity in research
- Biases in algorithms, AI, or applications
- Multicultural aspects of AI in Ed
- Supporting underachieving students
- Cultural and population differences
- AI in Ed for underserved communities and marginalized populations
- Gender and sex-based biases
- Equity, diversity, and inclusion in the community
- Data mining techniques to measure equity
Submissions
For the main track, there are two categories of papers. Full papers should present integrative reviews or original reports of substantive new work: theoretical, empirical, and/or in the design, development and/or deployment of novel concepts, systems, and mechanisms. Full papers will be presented as talks. Short papers are expected to describe novel and interesting results to the overall community at large. The goal is to give novel but not necessarily mature work a chance to be seen by other researchers and practitioners and to be discussed at the conference. Short papers will be presented as posters.
All papers will be reviewed by the program committee to meet rigorous academic standards of publication. The review process will be double-blind review process, meaning that both the authors and reviewers will remain anonymous. To this end, authors should: (a) eliminate all information that could lead to their identification (names, contact information, affiliations, patents, names of approaches, frameworks, projects and/or systems); (b) cite to your prior work (if needed) in the third person; and (c) eliminate acknowledgments and references to funding sources. Papers will be reviewed for relevance, novelty, technical soundness, significance and clarity of presentation.
It is important to note that the work presented should not have been published previously or be under consideration in other conferences of journals. Any paper caught in double submission will be rejected without review.
Full papers, short papers, industry and innovation track papers, and doctoral consortium papers will be published by Springer Lecture Notes in Artificial Intelligence (LNAI), a subseries of Lectures Notes in Computer Science (LNCS). Submissions must be in Springer format. Papers that do not use the required format may be rejected without review. Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. For further details about the format, please see https://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0.
Maximum paper length is as follows:
- Full papers (10 pages + references)
- Short papers, presented as posters (4 pages + references)
- Industry and innovation track papers (4 pages + references)
- Doctoral consortium papers (4 pages + references)
Important Dates
Research Track (Full and Short Papers) Abstract due: February 1, 2021 February 5, 2021 (paper bidding starts)
Full paper deadline: February 8, 2021 February 12, 2021
Reviewer deadline: March 10, 2021
Meta-reviews due: March 22, 2021
Notifications sent to authors: April 5, 2021
Industry and Innovation Track Submission deadline: March 1, 2021
Workshops and Tutorials Submission of proposals: March 1, 2021
Interactive Events Submission of proposals: April 15, 2021
Doctoral Consortium Submission: March 1, 2021
Acceptance notification: TBD
Camera-ready copy: TBD
Conference proceedings
TIB Catalog:
Proceedings AIED 2021, Part 1: https://tib.eu/rwxb
Proceedings AIED 2021, Part 2: https://tib.eu/xs9m
Springer Link:
Proceedings AIED 2021, Part 1: https://doi.org/10.1007/978-3-030-78292-4
Proceedings AIED 2021, Part 2: https://doi.org/10.1007/978-3-030-78270-2
Organizing Committee
- General Co Chairs
- Rose Luckin, London Knowledge Lab, United Kingdom
- Vania Dimitrova, United Kingdom, United Kingdom
- PC Co Chairs
- Ido Roll, Technion Israel Institute of Technology Israel
- Danielle McNamara, Arizona State University, USA
- Workshop and Tutorial Co Chairs
- Mingyu Feng, WESTED, USA
- Alexandra Cristea, Durham University, United Kingdom
- Zitao Liu, Tal Education Group China
- Local Organizing Co Chairs
- Sergey Sosnovsky, Utrecht University, The Netherlands
- Johan Jeuring, Utrecht University, The Netherlands
- Proceedings Chair
- Irene-Angelica Chounta, University of Tartu Estonia
