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 …

The emergence of artificial intelligence (AI) as a subject to be incorporated into K-12
educational levels places new demand on relevant stakeholders, especially teachers that …

Although the importance of K–12 artificial intelligence (AI) education grows, the lack of
teacher readiness hinders the integration of AI in schools. To address this issue, this study …

As society deals with the advances and disruptions owing to artificial intelligence, children
must understand how it works. Especially that children grow up with these technologies will …

There is a need for teachers who are prepared to teach Artificial Intelligence (AI) across the
K-12 learning contexts. Owing to the dearth of teacher education programmes on AI, it is …

Background and context Researchers have been investigating ways to demystify machine
learning for students from kindergarten to twelfth grade (K–12) levels. As little evidence can …

Data science and machine learning should not only be research areas for scientists and
researchers but should also be accessible and understandable to the general audience …

With the push to integrate Artificial Intelligence (AI) from kindergarten to twelfth-grade levels
comes a need for equipped teachers. However, there needs to be more initiative in …

Artificial intelligence (AI) is a transformative force in education. Realizing the full potential of
AI in education requires a multidisciplinary and holistic AI literacy framework that can inform …

Designing artificial intelligence (AI) artefact learning has gone beyond command-line-based
instruction, to include a low-barrier threshold with block-based programming. Such …