The first International Workshop on Education in Artificial Intelligence K-12 (EduAI) addresses the emerging topic of education in AI at the K-12 level. The workshop will be held in Macao, China as part of the IJCAI workshop program. It represents a unique opportunity to bring together leading AI scientists with education researchers, educators and practitioners who focus on and are interested in K-12 AI education.
Held in conjunction with IJCAI-2019 in Macao, China
Keynote speaker: Toby Walsh (title of his talk: “AI: Communicate and Educate”)
Submission deadline: April 26, 2019
Notification of acceptance: May 10, 2019
Submission of camera ready papers: June 3, 2019
Workshop date: August, 10 or 11 or 12, 2019
In recent years, Artificial Intelligence (AI) has captured the attention of the public, and become a major topic of discussion. AI already has a significant influence on various areas of life and across different sectors and fields. The rapidity with which AI is impacting our everyday life as well as our working world poses a tremendous challenge for our society and educational system. Sound knowledge about AI, its principles and concepts, the ability to apply AI techniques and methods, coupled with the ability to analyze their long-term benefits, are becoming 21st century key skills. They are the basis for creating career opportunities and fostering a broad common understanding of AI applications and products. As a consequence, this also enables people to better estimate potential opportunities and possible risks of those upcoming technologies. Access to basic AI literacy, education and tools will also reduce the danger of social or economic exclusion of certain groups of people, especially women and minorities. In this context it is essential to introduce fundamental concepts and techniques of AI from an early age. In doing so, a convenient byproduct will be the involvement of the child’s caregivers – parents and educators, who will also become AI-literate.
Aims and Scope
Teaching fundamental AI concepts and techniques has traditionally been done at the university level. Education in AI at the K-12 level is still quite rare. However, in recent years several initiatives and projects pursuing the mission of K-12 AI education have emerged.
The main goal of this workshop is to bring together people who are actively involved with and/or interested in K-12 AI education (researchers, teachers, educators, practitioners) and top AI scientists, fostering a mutual exchange of knowledge, ideas and views between those groups. The workshop aims to present initiatives, projects, ideas and best practice examples, to get input from leading AI researchers, and to discuss current work, possible cooperation and future directions in the context of AI education in schools. Furthermore, it aims to discuss and find a common ground for how to best implement AI education at the K-12 level.
We invite submissions of research papers from researchers, practitioners, and educators interested in education in AI at K-12 level (primary, secondary). Topics of interests include (but are not limited to):
- K-12 AI educational initiatives and projects
- AI curricula
- AI teaching concepts and materials
- social, ethical and economic aspects of AI, human factors
- software and hardware tools in AI education and how those tools could improve teaching
- AI in education
- best practices for training educators to teach about AI
- parental involvement in AI-literacy
- approaches dealing with the question of what should be taught to prepare youth for a digitized world
We also welcome discussions of best practice examples and hands-on demonstrations of AI teaching approaches at K-12 level.
Potential participants are invited to submit either
- a full length regular paper (i.e. a paper presenting an implemented and evaluated AI educational project (K-12) of a considerable outreach; a paper describing innovative and novel approaches in the area of AI education; 8 pages)
- a short paper (i.e. a position paper describing specific questions and issues that the participants feel should be addressed; a demo paper describing a demonstration of an AI educational approach or tool; a work-in-progress paper aimed at describing recent developments, initiatives, best practice examples, activities or new projects that are not yet ready for publication as regular papers; 4 pages)
Accepted full papers will be presented orally during the workshop. Authors of accepted short papers will prepare a poster which will be presented during a workshop poster session.
Formatting and Submission:
Submissions are accepted in PDF format only, using the IJCAI 2019 formatting guidelines at
Author names should be included. Regular papers must not exceed eight (8) and short papers must not exceed four (4) pages, including references and appendices. Over-length submissions will be rejected without review.
Papers must be submitted by the due date at the following EasyChair submission site: https://easychair.org/conferences/?conf=eduai19
The workshop contributions will be published electronically.
Gerald Steinbauer, Graz University of Technology, Austria
Sven Koenig, University of Southern California, USA
Fredrik Heintz, Linköping University, Sweden
Tara Chklovski, Iridescent, USA
Martin Kandlhofer, Graz University of Technology, Austria