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 …

Background Emerging methodologies that apply and integrate science, technology,
engineering, art, and math (STEAM) in education have appeared in recent years as a …

Abstract Teaching Machine Learning in school helps students to be better prepared for a
society rapidly changing due to the impact of Artificial Intelligence. This requires age …

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

To date, many AI initiatives (eg, AI4K12, CS for All) developed standards and frameworks as
guidance for educators to create accessible and engaging Artificial Intelligence (AI) learning …

Artificial Intelligence (AI) permeates every aspect of our daily lives and is no longer a subject
reserved for a select few in higher education but is essential knowledge that our youth need …

This paper describes the implementation and student learning outcomes of a nationwide
professional development program for lower secondary and upper secondary school …

Integral to fostering computational thinking (CT) skills, which are increasingly essential in
today's digital era, has been the shift of paper‐based pictorial modeling activities to …

As computer science instruction gets offered to more young learners, transitioning from
elective to requirement, it is important to explore the relationship between pedagogical …

Computational thinking is a highly appreciated skill by mathematicians. It was forecasted
that, in the next few years, half of the jobs in science, mathematics, technology and …