Semantic Waves: A Strategy for Algorithmic Skills in K-12 Computer Science Education

The objective of this study is to develop and empirically evaluate an educational model that enhances algorithmic thinking - a key element of computational literacy - through the application with the concept of so called semantic waves for advancing K-12 students' digital proficiency. The concept of a semantic wave refers to the process of moving between abstract, theoretical knowledge and concrete, practical examples to create deeper understanding and learning. Considering this, our proposed model in the field of algorithmic thinking is intended to support pre-service computer science teachers and educators in designing instructional processes that are easy to implement and facilitate swift planning and reflection for K-12 computer science education. Initial results indicate promising outcomes but also suggested areas for enhancement. This research furthermore delves into refining the model through the incorporation of notional machines and the computational action approach for improving the training of future computer science teachers and students for the challenges of digital transformation.