As we venture further into an ever-evolving digital society, it has become imperative for schools to adapt and equip future generations with the required skills. Computational Thinking (CT), specifically its algorithmic thinking aspect, plays a significant role in computer science and other sciences, such as biology, chemistry, and physics. It encourages students to reason at multiple levels of abstraction. This ability is particularly useful in natural science, as scientific experiments require critical skills like conceptualization, problem decomposition, and solving or designing structured systems. However, due to organizational and curricular restrictions, these concepts and skills are typically taught separately, leaving it to the learners to connect and apply the acquired skills in the respective context.