Training in computational thinking can improve a student’s ability to tackle complex problems, according to research in the International Journal of Technology Enhanced Learning, which examined both student perception of their own skills and their demonstrated performance. The findings come at a time when higher education faces increased pressure to equip students with transferable skills for the changing workplace.
Computational thinking is a structured approach to problem-solving that involves breaking problems into smaller parts, identifying patterns, focusing on essential information through abstraction, and designing step-by-step procedures known as algorithms to find a solution. Although often associated with computer science, the researchers argue that these skills are relevant across all disciplines. Previous research has linked computational thinking to critical thinking, creativity and innovation.
The study found that participants improved their ability to identify patterns, break down problems, and construct logical solutions. Students from one institution initially outperformed their peers, but with training, those differences were largely eliminated, the team found. In addition, improvements in abstraction, pattern recognition, and algorithm design appeared to reinforce each other. This finding supports the view that these skills develop most effectively when taught together as part of an overarching approach to problem-solving.
George-Reyes, C.E., Oliva-Córdova, L.M. and Bustamante-Ruiz, S.P. (2026) ‘Unlocking computational thinking: immersive technologies for solving complex problems’, Int. J. Technology Enhanced Learning, Vol. 18, No. 5, pp.1–24.
No comments:
Post a Comment