Over the past few decades, much research has been devoted to using AI to personalize and optimize learning experiences. Advances in AI have made educational technologies more effective and efficient, and more prevalent in and out of classrooms. As AI has been gaining popularity in educational settings, it has also become ubiquitous in many other aspects of our everyday life and is redefining the future of work through human-machine alliances. Proficiency in AI is key to a data-capable workforce that will continue to innovate and to support the AI-powered technology infrastructure and ecosystem. Today’s students will live a life heavily influenced by AI, and many will work in fields that involve or are influenced by AI. It is no longer sufficient to wait until college to introduce AI concepts. They must begin to work with AI algorithmic problem solving and computational methods and tools starting in K-12.  Now AI is no longer just part of the tools to educate students but also becomes front and center as a topic of education itself. 

Much research in AI is needed to understand how to develop AI competency for K-12. For example, how to make complex AI concepts accessible to K-12 learners? How to prepare teachers to incorporate AI education in teaching subjects already existing in K-12? With the abundance of expertise on AI-driven technology for education, what  are the lessons learned from designing, for example, intelligent tutoring for K-12 STEM and CS education that can be applied to teaching AI? 

In summary, as AI becomes a critical skill for the future workforce, it will also become an integral part of K12 education. The AIED community is the natural choice to lead the discussion on what are the challenges in teaching AI for K12 and how we should design AI-driven technologies to teach AI for K12.

The workshop aims to cover topics including but not limited to: 

• AI learning progression for K-12 learners

• Assessment for AI education

• Integrating AI and STEM education

• AI-driven educational technology for AI education

• AI education in informal settings

• Preparing teachers and parents for building youth AI literacy 

The workshop welcomes papers that are original and not simultaneously submitted to another journal or conference, in full or short format. 

Full papers: 8 pages 12 pages

Short papers: 4 pages

The paper length includes references and all additional materials. All submissions must be in Springer format. Authors should consult Springer’s Instructions for Authors of Proceedings and use either the LaTeX or the Word templates provided on the Springer’s page for the preparation of their papers. Springer’s proceedings LaTeX templates are available in Overleaf. 

Accepted papers are planned to be published online at http://ceur-ws.org

Submissions can be made via EasyChair.

At least one author of each accepted paper must register for the workshop.

Full and Short Paper Submission: May 15, 2023 (AOE)

Notification of Acceptance: May 29, 2023 June 9, 2023 (AOE)

Camera-ready: June 19, 2023 June 30, 2023 (AOE)

Workshop: July 7, 2023 (Tokyo, Japan local time)

This workshop is part of the Artificial Intelligence in Education (AIED) 2023 conference. The workshop will be held at the same venue as AIED 2023 conference in Tokyo, Japan and virtually (synchronous hybrid).

A least one author of each accepted paper must register for the workshop.

Note: All times are Tokyo, Japan local time on July 7, 2023. 

Recordings of the workshop presentation and discussion can be assessed here.

A description about the workshop in AIED 2023 Proceedings can be accessed here.