The purpose of the Interactive Events is to provide a platform for researchers, practitioners, and industry leaders to showcase their ideas and initial efforts in the development of AIED systems. The Interactive Events will facilitate active participation and gather input from the broader AIED community present at the AIED 2024 conference. Attendees will have the chance to present interactive demos of AIED systems that tackle various aspects pertinent to Education. 

This call welcomes participation from all practitioners and industry experts. However, authors who are already submitting papers or posters to the main conference are particularly encouraged to also submit to this track. This will provide the opportunity to demonstrate their system during the Interactive Event. The track accommodates various forms of learning and educational systems that are related to this year's conference subject, "The AI in Education for a World in Transition". 

The demo systems may include interactive systems running in various modalities such as stand-alone app, web, mobile device, etc., as well as early-stage interactive mock-up applications: 

• virtual/augmented reality environments; 

• adaptive educational systems; 

• serious/educational games; 

• intelligent tutoring systems; 

• agent-based learning environments; 

• learning management systems; interactive visualizations; 

• data-driven and/or analytics-based EdTech; 

• novel AIED interactive tools, including authoring tools. 

Submissions will undergo peer review for relevance to the AIED community in general and as an interactive demonstration in particular.

Submission due: May 20, 2024

Notification of acceptance to authors: May 25, 2024 

Conference: July 8 - 12, 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 track submissions.

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?

A submission to the Interactive Events track requires a proposal summary and a video, with the following guidelines:

1. A Word or PDF proposal summary, 1-2 pages (font size 12), including:

• • Title and authors

  • Summary of the system to be demoed, including the context in which it was developed, if relevant

  • The system’s potential impact

  • Relevance to this year’s AIED theme is a plus (but not a requirement)

2. A link to a video (e.g., posted on YouTube or shared on Google Drive)

• • Videos should be of reasonable quality, a maximum of three minutes long, and showcase both the functionality and significance of your system

  • The video link should be included in the submitted paper.

3. The submissions should be via the EasyChair Link (https://easychair.org/my/conference?conf=aied2024)

An Interactive Event program committee will be set up with members from the Conference Program Committee. The Interactive Event Chairs (in consultation with this Committee) will select proposals based upon expected interest to AIED attendees, interactivity, scientific value, originality, innovation, and potential logistic constraints. Commercial products are eligible, but sales and marketing activities are not appropriate. We welcome demonstrations of systems that were already presented or published, as long as the submitted demonstrations reveal a new angle relevant to AIED.

Each accepted paper within the Interactive Events track must be accompanied by an author registration, completed by the early registration date cut-off. Unlike accepted papers, this registration does not need to be unique: a single author can present both a paper and an Interactive Event. Please note that presenters for the Interactive Event track must be on-site to give their presentations and interact with the audience. An online streaming option will be set-up for remote observers.

Publication Note: Submissions to the Interactive Event Track will not be included in the conference proceedings. However, a Best Interactive Events Award will take place. There is also an opportunity to be featured in the IAIED Website Showcase, which will be redesigned to highlight recent work.

Preparation & Resources: Please review the guidelines to prepare your presentation above. This track offers a unique opportunity to exhibit your system and include a video demonstration for the Showcase. Review the video instructions for its quality criteria.

If you have any further questions, please, contact the Interactive Events Chairs: 

• Leonardo B. Marques, Federal University of Alagoas, Brazil (leonardo.marques@cedu.ufal.br) 

• Ben Nye, University of Southern California, USA (nye@ict.usc.edu) 

• Rwitajit Majumdarm, Kumamoto University, Japan (majumdar@kumamoto-u.ac.jp)