EduAI-20 Call for Papers

The second 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 online, as part of the AIED 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.

Call for papers: Special Issue on Education in Artificial Intelligence K-12. To appear in the German Journal of Artificial Intelligence 2/2021

Held in conjunction with AIED-2020

Find the workshop program here

Keynote speaker:
Dave Touretzky, CMU (

Important Dates
Submission deadline: June 7, 2020
Notification of acceptance: June 14, 2020

Workshop date: July 10, 2020 (12:00-18:00 CEST, 11:00-17:00 Marocco time)

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.  

Topic Areas
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.

Submission Instructions

Organizing Commitee
Gerald Steinbauer, Graz University of Technology, Austria
Sven Koenig, University of Southern California, USA
Fredrik Heintz, Linköping University, Sweden
Julie Henry, University of Namur, Belgium
Tara Chklovski, Iridescent, USA
Martin Kandlhofer, Austrian Computer Society, Austria