Computational thinking (CT) is one of the systematic tools in problem solving and widely
accepted as an important skill in the 21st century. This study aimed to identify the …

Abstract The insertion of Machine Learning (ML) in everyday life demonstrates the
importance of popularizing an understanding of ML already in school. Accompanying this …

Computational thinking is an ability which is considered to be essential for the process of
problem solving in every science. The current empirical research aims to study the impact of …

Although Machine Learning (ML) is used already in our daily lives, few are familiar with the
technology. This poses new challenges for students to understand ML, its potential, and …

Computational Pedagogy is an instructional approach based on Computational Science and
the Computational Experiment as well as on the CPACK model. Computational Science in …

The article discusses issues related to the possibilities of using artificial neural networks in
assessing, monitoring and analyzing the results of innovative educational activities of …

The notion of teaching experts' habits of mind (eg, computational thinking and scientific
thinking) to novices seems to have inspired many educators and researchers worldwide. In …

The past two decades have shown a rising global trend to offer online K-12 STEM learning,
necessitating teachers to have the knowledge and skills to navigate online teaching …

Teaching artificial intelligence (AI) is challenging. It is a fast moving field and therefore
difficult to keep people updated with the state-of-the-art. Educational offerings for students …

As Computational Thinking (CT) becomes an increasingly necessary skill, it is crucial to
examine how CT can be taught in the classroom. Pedagogical Content Knowledge (PCK) is …