Informatics in Education

Tables are fundamental tools for handling data and play a crucial role in developing both computational thinking (CT) and mathematical thinking (MT). Despite this, they receive limited attention in research and design. This study investigates pupils’ attitudes toward and approaches to working with tables in informatics education, focusing on the systematic development of CT. Specifically, we examine how primary school pupils (aged 8–10) think and act when engaging with two-dimensional frequency tables integrated into Programming with Emil. Our objective is to deepen the understanding of pupils’ cognitive processes when entering data into tables and interpreting their contents. Data were collected through individual semi-structured interviews and analysed using qualitative inductive coding. Identified codes were then iteratively consolidated into broader categories and final themes. Key findings include: (a) the opportunity to solve a problem by programming a character is highly motivating for pupils, and (b) the appropriate integration of different contexts and concepts, such as tables, into an engaging programming environment has the potential to foster advanced cognitive skills beyond CT.

Internet and its services have become inherent element of the lives of young people. Nevertheless, we observe that educational potential, which the Internet offers for supporting learning processes, is acknowledged and exploited only partially. On that account, for several years we have been involved in developing investigative on-line activities, highly popular interactive events among students of the Slovak schools. In this way, as a value-added benefit, we have created unique opportunity for us to study how students behave when solving problems in the technology enhanced learning situations, how they communicate and cooperate in the teams, which competencies they cultivate. For such educational research, we have made use of the thoroughly projected combination of the intervention design and qualitative non-participant unstructured observations - within the framework of the design-based research methodology.