Children today live in the age of artificial intelligence. Artificial Intelligence (AI) can be defined as a system that has been designed to interact with the world in ways we think of as human and intelligent. UNESCO (2019) says AI has the potential to accelerate the process of achieving the global education goals through reducing barriers to accessing learning, automating management processes, and optimizing methods in order to improve learning outcomes. Education will be profoundly transformed by AI. Teaching tools, ways of learning, access to knowledge, and teacher training will be revolutionized.

A European JRC policy foresight report (Tuomi, 2018) suggests that in the next years AI will change learning, teaching, and education. The speed of technological change will be very fast, and it is important to understand the potential impact of AI on learning, teaching, and education, as well as on policy development. The EU working group on AI in education working group distinguishes between ‘Education for AI’ and ‘AI for education’.

Education for AI is about equipping students and teachers with knowledge about AI. AI for Education focuses on AI applications that can be used to improve education and thus learning and teaching. The particular potential is seen in the areas of
personalization of learning, automation of domain-specific knowledge, tackling learning difficulties, and automation of assessments. Both teachers are in the focus of attention because they have to be trained to be able to use AI in educational institutions.

The AI@education project seeks to address both AI for education and AI in education. This project seeks to develop and pilot a curriculum for high school students on the topic of artificial intelligence. It also seeks to support the continuing professional development of teachers by creating an online community of practice for exchanging ideas and best practices. If teachers are to prepare young people for the new world of work and to excite young people to engage with careers in designing and building future AI ecosystems, then teachers themselves require training to understand the impact of AI and the new needs of their students.

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