CALL FOR PAPERS 2nd International Workshop on Education in Artificial Intelligence K-12 (EduAI) Virtual Event July 6 or 7, 2020 (t.b.d.) held in conjunction with AIED-2020 http://eduai.ist.tugraz.at/ 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. Important Dates Submission deadline: June 7, 2020 Notification of acceptance: June 14, 2020 Submission of camera ready papers: June 21, 2020 Workshop date: July 6-7, 2020 Description 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 Please submit your contribution as an extended abstract of 2 pages maximum. The contribution should be formatted according to the guidelines of Springer Lecture Notes in Computer Science (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines). Please submit your contribution via the Easy Chair submission system (https://easychair.org/conferences/?conf=eduai2020). Organizing Committee 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
