Chairs: Florije Ismaili, Xhemal Zenuni, Ermira Idrizi
(SEE University, North Macedonia.)

xAI in education is incorporated into a range of technological breakthroughs that provide learning analytics, suggestions, and diagnostic tools in several ways, delivering explanations digestible to humans for various purposes. AI can have a significant impact on the delivery of student learning programs and courses by providing a customized and personalized learning context, with the potential to impact the educating process by assisting students in improving their skills, ensuring prompt responses between teachers and students, and in improving universal 24/7 access to learning. In many cases, AI applications are still in development and are deployed in experimental and limited contexts, as opposed to system-wide. However, numerous examples of promising applications foresee how AI may transform education in the coming decades, both in the classroom and at the system level, and that diverse target stakeholders, such as students, instructors, administrators, parents, and policymakers. Besides the application of AI in education, it is vital to bridge the gap between AI-based solutions and the consumers of their inferences in education. For this reason, xAI methods play an essential role in preparing explainable artefacts that lay humans of AI can digest. Topics include, but are not limited to:

Explainable AI in providing personalized learning experiences and feedback
Data-driven explainable education, including intelligent and explainable tutoring systems, knowledge graphs, automated feedback
Generating smart content using explainable AI (digital lessons, visualization, and updated content)
xAI algorithms for student engagement and real-time assessment (spot-checking algorithms)
Explainable educational resource recommendation models and systems
Using xAI to predict and evaluate student success/school dropout.
The effects of the use of xAI methods in preserving critical thinking and learner–instructor interaction in online learning
Interdisciplinary models and new pedagogical approaches in education using xAI
The impact of explainable AI in privacy concerns and sensitive data protection in educational institutions
Addressing education biases and inequities using explainable AI
Ethics of AI and explainability in education

Submitted manuscripts must be novel and not substantially duplicate existing work. Manuscripts must be written using Springer’s Lecture Notes in Computer Science (LNCS) in the format provided here. Latex and word files are admitted: however, the former is preferred (word template, latex template, latex in overleaf). All submissions and reviews will be handled electronically. The conference has a no dual submission policy, so submitted manuscripts should not be currently under review at another publication venue.

Articles must be submitted using the easy-chair platform here.

The contact author must provide the following information: paper title, all author names, affiliations, postal address, e-mail address, and at least three keywords.

The conference will not require a strict page number, as we believe authors have different writing styles and would like to produce scientific material differently. However, the following types of articles are admitted:

full articlesbetween 12 and 24 pages (including references)
short articlesbetween 8 and 12 pages (including references)
extended abstractsbetween 4 and 8 pages (including references)

Full articles should report on original and substantial contributions of lasting value, and the work should concern the theory and/or practice of Explainable Artificial Intelligence (xAI). Moreover, manuscripts showcasing the innovative use of xAI methods, techniques, and approaches and exploring the benefits and challenges of applying xAI-based technology in real-life applications and contexts are welcome. Evaluations of proposed solutions and applications should be commensurate with the claims made in the article. Full articles should reflect more complex innovations or studies and have a more thorough discussion of related work. Research procedures and technical methods should be presented sufficiently to ensure scrutiny and reproducibility. We recognise that user data may be proprietary or confidential, therefore we encourage sharing (anonymized, cleaned) data sets, data collection procedures, and code. Results and findings should be communicated clearly, and implications of the contributions for xAI as a field and beyond should be explicitly discussed.
Shorter articles should generally report on advances that can be described, set into context, and evaluated concisely. These articles are not ‘work-in-progress’ reports but complete studies focused on smaller but complete research work, simple to describe. For these articles, the discussion of related work and contextualisation in the wider body of knowledge can be smaller than that of full articles.
Extended abstracts should contain the definition of a problem and the presentation of a solution, comparisons to related work, and other details expected in a research manuscript but not in an abstract. They are not simply long abstracts or ‘work-in-progress’. An extended abstract is a research article whose ideas and significance can be understood in less than an hour. Producing an extended abstract can be more demanding than producing a full or short research article. Some things that can be omitted from an extended abstract, such as future work, details of proofs or implementation that should seem plausible to reviewers, and ramifications not relevant to the key ideas of the abstract. It should also contain enough bibliographic references to follow the main argument of the proposed research.

Special track articles

The article submitted to the special tracks follows the normal procedure and must be submitted via easy-chair, as mentioned above. The types of articles admitted are full articles, shorter articles and extended abstracts, as described above. The author of an article for a special track must select the name of such special track in the list of topics in easy-chair, along with other relevant topics.

Ethical & Human Subjects Considerations

The conference organisers expect authors to discuss the ethical considerations and the impact of the presented work and/or its intended application, where appropriate. Additionally, all authors must comply with ethical standards and regulatory guidelines associated with human subjects research, including using personally identifiable data and research involving human participants. Manuscripts reporting on human subjects research must include a statement identifying any regulatory review the research is subject to (and identifying the form of approval provided) or explaining the lack of required review.

Further style instructions

We ask the authors to start the reference section on a new page. Appendices count toward the page limit. Use an even number of pages (4,6,8..,22, 24)

*All dates are Anywhere on Heart time (AoE)

Article (main track & special tracks)

Authors/title/abstract registration deadline on submission platform (easy-chair)*:April 15, April 20, 2023
Article upload deadline on submission platform (easy-chair)*:April 20 April 25, 2023
Notification of acceptance:May 12, May 19th,2023
Registration (payment) and camera-ready (upload to easy-chair):May 19, May 29, June 6th, 2023
Article presentation instructions notificationJune, 26th, 2023
Accepted article presentation (at xAI-2023)July, 26-28th, 2023
Publication (Springer CCIS series)August 2023
*full, short and extended abstract articles

Doctoral consortium (DC) proposal

DC Proposal author/title registration deadline on submission platform (easy-chair):April 16th, April 25, 2023
DC Proposal upload deadline on submission platform (easy-chair):April 30, May, 5, 2023
Notification of acceptance:April 30, May 19th, May, 22nd, 2023
Registration (payment)May 7, May 29, 2023
DC proposal camera-ready (upload to easy-chair): June 16, 2023
DC presentation and meeting instructions notificationJune, 26th, 2023
Doctoral consortium meeting (at xAI-2023)July, 26-28th, 2023
Publication (planned with*)August 2023
*Proceedings shall be submitted to for online publication

Late-breaking work & demos

Late-breaking work & demo author/title/abstract registration on submission platform (easy-chair):May 23, 2023
Late-breaking work & demo article upload deadline on submission platform (easy-chair):May 28, 2023
Notification of acceptance:June 06, June 10, June 13, 2023
Registration (payment) & Late-breaking work & demo camera-ready (upload to easy-chair):June 16, June 20, 2023
Late-breaking work & demo presentation instructions notificationJune, 26th, 2023
Late-breaking work & demo presentations (at xAI-2023)July, 26-28th, 2023
Publication (planned with*)August 2023
*Proceedings shall be submitted to for online publication

Special track proposal

Proposal submission (contact):Anytime before February 08 February 15 2023

Panel discussion

Panel Discussion proposals:May 21, 2023
Notification of acceptance:May 28, 2023
Registration of Panel Discussions facilitators:June 06, 2023


The World Conference on eXplainable AI26-28 July 2023

The Peer-Review process

All articles submitted within the deadlines and per the guidelines will be subjected to a single-blind review. Papers that are out of scope, incomplete, or lack sufficient evidence to support the basic claims may be rejected without full review. Furthermore, reviewers will be asked to comment on whether the length is appropriate for the contribution. Each of the submitted articles will be reviewed by at least three members of the Scientific Committee.

After completion of the review process, the authors will be informed about the acceptance or rejection of the submitted work. The reviewers’ comments will be available to the authors in both cases. In case of acceptance, authors must meet the recommendations for improvement and prepare and submit the definitive version of the work up to the camera-ready paper submission deadline. In case of failure to consider the recommendations made by the reviewers, the organizing committee and the editors reserve the right not to include these works in the conference proceedings.

The article’s final version must follow the appropriate style guide and contain the authors’ data (names, institutions and emails) and the ORCID details. Submitted articles will be evaluated according to their originality, technical soundness, significance of findings, contribution to knowledge, and clarity of exposition and organisation.

According to the quality of the accepted article and its rank among all the other accepted manuscripts, it can be accepted for a full or short presentation or as a poster.

Code of Ethics

Inspired by the code of ethics put forward by the Association of Computing Machinery, the programme committee, supervised by the general conference chairs and organisers, have the right to desk-reject manuscripts that perpetuate harmful stereotypes, employ unethical research practices, or uncritically present outcomes or implications that disadvantage minoritized communities. Further, reviewers of the scientific committee will be explicitly asked to consider whether the research was conducted in compliance with professional, ethical standards and applicable regulatory guidelines. Failure to do so could lead to a desk-rejection

Proceedings publication

Each accepted and presented full, short and extended abstract manuscript, either as an oral presentation or as a poster, will be included in the conference proceedings by Springer in Communications in Computer and Information Science, edited by the general chair.  At least one author must register for the conference by the early registration deadline. The official publication date is when the publisher makes the proceedings available online. This date will be after the conference and can take a number of weeks. If authors would like to publish their article open access (upon a fees with Springer), please refer to this page.