Call for Papers
WideAIED
Introduction
We are thrilled to once again feature the WideAIED paper track at this year's conference, providing a welcoming forum for engaging with the significant opportunities and challenges that AI in education presents from a global perspective.
WideAIED welcomes research addressing underrepresented contexts and global challenges, including but not limited to equity and accessibility, leading to AIED approaches, models, and systems that adapt to diverse social and technological environments.
The contributions to the WideAIED track are expected to address the issues of areas of the world that are currently underrepresented in AIED, regardless of the authors' location or background. The contributions to the WideAIED track include challenges such as balancing education, surveillance and care, addressing technology accessibility and inclusivity, including data accessibility for AIED, designing, implementing, evaluating or reevaluating pedagogical and other AIED approaches for underrepresented cohorts, populations, and geographical areas (e.g., countries, continents), and challenging disparities in AI progress across regions and populations.
Join us in exploring new solutions that foster inclusion for all, fairness, and adaptive and personalised approaches that widen the reach of current AIED models, frameworks, solutions and systems, towards a truly global reach and AIED solutions for all.
Submission Instructions
System
Please note that the submissions must be written in English. Papers should be submitted electronically, as a PDF file, through the AIED 2025 EasyChair conference system (https://easychair.org/my/conference?conf=aied26), selecting the "WideAIED Papers" track.
Types
We encourage two types of submissions (reviewers will comment on whether the size is appropriate for each contribution):
- Full papers (14 pages including references and any appendixes; for a long oral presentation).
- Short papers (8 pages including references and any appendixes; for a short oral presentation).
Format
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. Submissions must follow Springer policies on publication (including policies on using AI during authoring).
Note
Please note the quick turn-around for the camera-ready papers. If your paper will be accepted, you will have 1 week to submit the final version, so please make sure to leave time for this in your diary.
Diversity, Equity and Inclusion
The AIED Society values diversity, equity, and inclusion (and related principles under this broad umbrella) as essential and fundamental values for the AIED community to uphold.
Thus, in AIED 2026, we encourage authors to:
- Write with care toward inclusive language (e.g., understanding identity-first vs. person-first language, gender neutral language, appropriate demographic categories and terminology, and avoiding the conflation of distinct dimensions such as race and ethnicity, or sex and gender).
- Report methodology, including descriptions of sample characteristics (e.g., demographic data), any procedures for inclusive and representative sampling, any barriers to inclusive and representative sampling, and the ethical issues addressed both in the research methodology and the AIED approaches or tools being researched. For example, it is important to report the strategies used to control or reduce bias against populations of any kind (e.g,. benefit or bring prejudice to a particular gender, race, or people with different economic status) when collecting, using, or aggregating data both for the research and for the AIED approach or tool being researched.
- Consider how their theoretical frameworks and findings are related to diversity, equity, and inclusion. For example, authors may discuss how these issues influence key assumptions, hypotheses, and methods.
- Address implications or appropriate interpretations of their findings with respect to diversity, inclusion, and equity.
Review Process
Process
All submissions will be reviewed by three members of the program committee, followed by a metareview conducted by a senior member of the program committee.
Anonymity
The review process will be double-masked, meaning that both the authors and reviewers will remain anonymous.
To this end, authors should:
- Eliminate all information that could lead to their identification (names, contact information, affiliations, patents, names of approaches, frameworks, projects, and/or systems)
- Cite own prior work (if needed) in the third person
- Eliminate acknowledgments and references to funding sources
Data Collection, Reporting, and Analysis
Authors should be clear and specific about the composition of human-sourced data. Who were the participants? What was the distribution of gender, race, ethnicity, or related variables? If corpus data or training data were sourced from humans, a similar description could be offered.
Skewed or non-representative samples would not necessarily trigger a "reject" decision; however, authors should acknowledge the demographic imbalances and discuss the potential impact on the data, results, or conclusions. A more compelling paper would describe the steps taken to generate an inclusive and representative sample (this is basic science, but often overlooked due to convenience).
Authors are encouraged to discuss/justify how demographic variables are included in the analyses. If they are not included or "covaried out", please justify. If they are included, what are the assumptions? Are there "categorical effects"? Are the effects of different demographic variables independent, interdependent, or intersectional? What valid conclusions can be drawn? What erroneous conclusions need to be avoided or tempered?
Ethics
Authors should demonstrate an awareness of how ethical issues (including, but not limited to, equity, inclusion, and accessibility) impact their data, methods, tools, approaches, products, and findings. How are different demographic groups or communities differentially connected to the work? People developing educational technologies need to consider access and use, for example. Corpus analyses need to address the impact of skewed/exclusive datasets and potential outcomes (e.g., algorithmic bias).
Important Dates
- Abstracts due: It is not necessary to submit an abstract before the paper
- Papers due: March 23, 2026
- Notification of acceptance to authors: April 20, 2026
- Camera-ready paper due: April 26, 2026
- Conference: June 29 – July 3, 2026
Note: the submission deadlines are at 11:59 pm AoE (Anywhere on Earth) time. Presentations of accepted work are expected to be delivered in person.