Machine Learning (ML) is becoming increasingly present in our lives. Thus, it is important to
introduce ML already in High School, enabling young people to become conscious users …

Artificial Intelligence (AI) has spread across industries (eg, business, science, art, education)
to enhance user experience, improve work efficiency, and create many future job …

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 …

Whereas computational empowerment is well established in child–computer interaction
research, less effort has been made to integrate this approach in practice. Building on four …

Abstract Although Machine Learning (ML) is found practically everywhere, few understand
the technology behind it. This presents new challenges to extend computing education by …

The article proposes a research agenda for computational empowerment for emerging
technologies in the field of child–computer interaction (CCI)–in artificial intelligence (AI) …

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 …

The paper addresses the current lack of emerging technology education in both research
and practice and the urgent need for preparing future generations for a digital future. Based …

Children grow up in a data economy but grasping how their data are part of this eco-system
and how data become valuable to others can be difficult. This work explores how to design …

Tangible learning has received increasing attention. However, in the recent decade, it has
no comprehensive overview. This study aimed to fill the gap and reviewed 92 publications …