The successful irruption of AI-based technology in our daily lives has led to a growing
educational, social, and political interest in training citizens in AI. Education systems now …

The increasing attention to Machine Learning (ML) in K-12 levels and studies exploring a
different aspect of research on K-12 ML has necessitated the need to synthesize this existing …

This systematic mapping review sheds light on how emerging technologies have been
introduced and taught in various K–12 learning settings, particularly with regard to artificial …

An entire generation of children is growing up with machine learning (ML) systems that are
greatly disrupting job markets as well as changing people's everyday lives. Yet, that …

The emergence of the Learning Analytics (LA) field contextualised the connections in
various disciplines and the educational sector, acted as a steppingstone toward the …

The increased use of AI and machine learning (ML) calls for a general AI literacy, in
particular regarding understanding how ML works, the process behind creating ML models …

This systematic review examines the empirical literature published between 2014 and 2021
that situates artificial intelligence within K-12 educational contexts. Our review synthesizes …

With the impressive enhancement and development of computer technology, artificial
intelligence (AI) and machine learning (ML) are implemented in every field of life. Music is …

The increased use of Artificial Intelligence, and in particular Machine Learning (ML) raises
the need for widespread AI literacy, in three particular areas related to ML; understanding …

The benefits of teaching machine learning to K-12 pupils include building foundational skills,
useful mental models and inspire the next generation of AI researchers and software …