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 …

Artificial Intelligence (AI) is prevalent in nearly every aspect of our lives. However, recent
studies have found a significant amount of confusion and misunderstanding surrounding AI …

This study aimed to investigate the impact of Artificial Intelligence (AI) on teacher leadership,
specifically examining whether AI is expanding or regressing teacher leadership, as …

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 …

With the advancement of artificial intelligence (AI) and machine learning (ML) techniques,
attitudes towards these two fields have begun to gain importance in different professions …

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 …

This study aimed to provide insight into the competencies required for students to participate
actively and thrive in artificial intelligence education in the K-12 context taking cognizance of …

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 …

Over the past three decades, the Technology Acceptance model (TAM) has garnered
considerable attention in higher education. COVID-19 boosted the development of TAM as …

With the emergence of foundation models (FMs) that are trained on large amounts of data at
scale and adaptable to a wide range of downstream applications, AI is experiencing a …