Solving Domain-Specific Problems with Computational Thinking


  • Sharon CALOR Amsterdam University of Applied Sciences/Vrije Universiteit Amsterdam
  • Izaak DEKKER Amsterdam University of Applied Sciences/Erasmus University Rotterdam
  • Dorrith PENNINK Amsterdam University of Applied Sciences
  • Bert BREDEWEG Amsterdam University of Applied Sciences/University of Amsterdam



Computational thinking, Domain-specific problems, Developed examples, Integration, K-12


Computational thinking (CT) skills are crucial for every modern profession in which large amounts of data are processed. In K-12 curricula, CT skills are often taught in separate programming courses. However, without specific instructions, CT skills are not automatically transferred to other domains in the curriculum when they are developed while learning to program in a separate programming course. In modern professions, CT is often applied in the context of a specific domain. Therefore, learning CT skills in other domains, as opposed to computer science, could be of great value. CT and domain-specific subjects can be combined in different ways. In the CT literature, a distinction can be made among CT applications that substitute, augment, modify or redefine the original subject. On the substitute level, CT replaces exercises but CT is not necessary for reaching the learning outcomes. On the redefining level, CT changes the questions that can be posed within the subject, and learning objectives and assessment are integrated. In this short paper, we present examples of how CT and history, mathematics, biology and language subjects can be combined at all four levels. These examples and the framework on which they are based provide a guideline for design-based research on CT and subject integration.




How to Cite

CALOR, S., DEKKER, I., PENNINK, D., & BREDEWEG, B. (2022). Solving Domain-Specific Problems with Computational Thinking . CTE-STEM 2022 Conference.