Call for Papers
Call for Workshops and Tutorials
Introduction
AIED 2024 workshops and tutorials are designed to provide an opportunity for the in-depth discussion of current and emerging topics of interest to the AIED community. We invite workshop and tutorial proposals that bring together people working on emerging and developing research topics. Those proposing a workshop or tutorial should provide information on why the proposal is of interest to the AIED community, and why a workshop or tutorial on this topic is beneficial. Innovative and interactive formats are encouraged and will be given priority in the selection process. Workshops and tutorials that take into account the theme of AIED 2024 (“AI in Education for a World in Transition”) are especially welcome. Specifically, topics related to bridging the gap between academia, business, and non-profit; topics focusing on crossing traditional educational boundaries or adjusting to rapid change; and topics discussing inclusion, diversity, equity, and accessibility (IDEA) in AIED research and practice will be considered favorably.
Important Dates
Submission due: February 16, 2024
Notification of acceptance to authors: March 13, 2024
Workshop websites and calls published on the conference website: March 21, 2024
Workshop and tutorial days: 8 July or 12 July 2024
Note: the submission deadlines are at 11:59 pm AoE (Anywhere on Earth) time. Please adhere to these deadlines as there will NOT be any extensions to the above dates for LBRs track submissions.
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 2024, we incentivize authors to carefully consider diversity, equity, and inclusion when reporting on your work.
When preparing your paper, please consider the following:
Authors should write with care toward inclusive language. This includes understanding identify-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.
Authors are encouraged to 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. Likewise, authors might address implications or appropriate interpretations of their findings with respect to diversity, inclusion and equity.
Please consider the following criteria when reporting samples:
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, but authors should acknowledge the demographic imbalances and discuss the potential impact on data, results, or conclusions. A more compelling paper would describe barriers to inclusive and representative sampling and the steps taken to generate an inclusive and representative sample (this is basic science, but often overlooked for convenience).
Authors should demonstrate some awareness of how equity, inclusion, accessibility issues impact their data, methods, products, or findings. How are different demographic groups or communities differentially connected to the work? People who are developing educational technologies need to think about access and use, for example. Corpus analyses need to address the impact of skewed/exclusive datasets and potential outcomes (e.g., algorithmic bias). It is also important to use strategies 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.
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?
Submission Instructions
Workshop and tutorial proposals should be between 6 and 8 pages (including references), and should include the following components:
Title Length: full or half-day
Names, short biographies, and contact information of workshop or tutorial chair(s)
List of tentative program/organising committee members, if applicable
Proposed timeline for announcing a call for paper acceptance, if applicable
Content and themes
Relevance and importance to the AIED community
Format and activities (e.g., paper presentations, discussions, demos, panels, invited speakers, tutorial, etc.)
Expected target audience and expected maximum number of participants
Previous editions of the workshop/tutorial series, if applicable.
Potential solicitation plans for funding (external funding is not required for acceptance)
Please follow Springer’s author guidelines and use their proceedings templates, either for LaTeX or for Word, to prepare your proposal.
Submissions will be handled via EasyChair: https://easychair.org/conferences/?conf=aied2024
Publication
Workshop and tutorial chairs will be invited to provide a 6-8 page summary (including references) of their workshop and tutorial. Accepted workshops will be published in the second volume of the AIED 2024 proceedings included in Springer Communications in Computer and Information Science (CCIS).
Additional Remarks
The AIED2024 organizing committee will support workshop and tutorial dissemination by including linking the websites of accepted workshops and tutorials on the AIED2024 conference website. Organizers of accepted workshops and tutorials are expected to launch their websites (not later than April 29, 2024), identify potential participants, and handle calls for workshop contributions as well as the publication of workshop contributions and outcomes. The AIED 2024 organizing committee reserves the right to cancel a workshop/tutorial that does not attract enough participants.
Workshops may run hybrids at the discretion of their organizers.
When publishing workshop contributions, organizers are encouraged to target well-established workshop proceedings repositories (such as http://ceur-ws.org/) and/or high-quality publication outlets (international impact-rated journals, including special issues within them).
Track Chairs
If you have any further questions, please, contact the LBR Chairs:
Carrie Demmans Epp (she/her), University of Alberta, Canada (cdemmansepp@ualberta.ca)
Cristian Cechinel (he/his), Federal University of Santa Catarina, Brazil (cristian.cechinel@ufsc.br)