Twelfth AAAI Symposium on Educational Advances in Artificial Intelligence
EAAI-22 Call for Participation
February 26-27, 2022
Vancouver, BC, Canada
EAAI-22 invites AI educators and researchers to share and discuss advances in AI education.
- Abstract deadline: August 30, 2021 at 11:59 PM UTC-12 (anywhere on earth)
- Paper deadline: September 8, 2021 at 11:59 PM UTC-12 (anywhere on earth)
- Notification date: November 12, 2021
- Symposium dates: February 26-27, 2022
The Thirty-Fourth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22) is a venue for papers describing highly innovative realizations of AI technology. The objective of the conference is to showcase successful applications and novel uses of AI. The conference will use technical papers, best practice papers, invited talks, and panel discussions to explore issues, methods, and lessons learned in the development and deployment of AI applications; and to promote an interchange of ideas between basic and applied AI and the discourse on the actual deployment of AI in practice.
IAAI-22 will consider: (1) papers that showcase novel, deployed applications of AI, as well as applications on a trajectory to deployment; (2) papers that present deployed tools for faster AI solutions development and deployment; (3) papers that showcase original ways of integrating methodologies from different areas of AI for practical realization and future deployment; as well as (4) best practice papers. Submissions should clearly identify which track they are intended for, as the tracks are judged on different criteria. All submissions must be original.
EAAI-22 has a main track and three special tracks. All submissions are subject to double-blind review. All accepted submissions are to be presented at the symposium.
The main track invites a broad range of papers on teaching AI and teaching with AI. Submissions may be framed as research papers or as experience reports. Potential topics include:
- The design of an AI curriculum, course, or module.
- The development or use of a tool or resource to teach AI.
- The impact of a pedagogical or mentoring technique on AI students.
- The use of AI to facilitate teaching or to enhance learning.
Special Track: Demos, Software Tools, and Activities for Teaching AI in K-12
Chair: Dave Touretzky (Carnegie Mellon) and Christina Gardner-McCune (University of Florida)
This special track invites papers on the development and use of resources to support K-12 AI education. Examples include online demos, software tools, and structured activities. Our goal is to make resources available for K-12 teachers to use in the classroom to engage students in learning about AI technologies.
Papers should include the following: description of the resource; target age group; setup and resources needed; AI concepts addressed; expected learning outcomes; and (if possible) implementation results. Online demos and software tools should be accompanied by brief video walk-throughs.
Special Track: AI-assisted Game Design Mentored Undergraduate Research Challenge
Chairs:Todd Neller (Gettysburg College), Rick Freedman (SIFT)
This special track invites papers addressing the AI-Assisted Game Design Mentored Undergraduate Research Challenge (http://cs.gettysburg.edu/~tneller/games/aiagd/index.html). The object of this challenge is to submit a paper that describes a creative application of AI technique(s) to the design of a game or puzzle. The broader purpose of EAAI mentored undergraduate research challenges is to encourage faculty-mentored undergraduate students to experience the full life-cycle of AI research.
Submissions should be framed as research papers, with at least one undergraduate author and at least one faculty author, reporting on their creative application of AI to game design.
Special Track: Model AI Assignments
Chair: Todd Neller, Gettysburg College
This special track invites assignments for AI classes. Good assignments take a lot of work to design. If an assignment you have developed may be useful to other AI educators, this track provides an opportunity to share it. Model AI Assignments are kept in a public online archive.
This track has special submission instructions (http://modelai.gettysburg.edu).
Submissions will be reviewed for:
- Relevance to the track
- Significance to the intended audience
- Engagement with prior work
- Novelty of contributions
- Technical soundness
- Clarity of presentation
- Evaluation of claims/results (as applicable)
- Engagement with questions of ethics/inclusivity (as applicable)
All submissions must be anonymous for double-blind review.
Except for Model AI Assignments, which have their own format, papers should be:
- Up to 7 pages long, plus up to 2 pages of references
- Per AAAI-22 style guidelines
- Submitted via EasyChair
EAAI-22 will not consider any paper that, at the time of submission, is under review for or has already been published or accepted for publication in a refereed journal or conference. Once submitted to EAAI-22, papers may not be submitted to another refereed journal or conference during the review period. These restrictions do not apply to unrefereed forums or workshops without archival proceedings.