From Theory to Practice: Integrating Problem-Solving Exercises to Strengthen Computational Thinking

Abstract

This research investigates the impact of structured problem-solving exercises and logic-building techniques on computer science students' academic performance and their ability to apply these skills to real-world challenges. By integrating problem-solving activities into the curriculum, students can develop critical thinking, algorithmic thinking, and logical reasoning abilities essential for success in the rapidly evolving field of computer science. This study uses a quasi-experimental design with pre- and post-assessment tests, surveys, and interviews to measure students' performance and perceptions. The results show that structured problem-solving exercises significantly improve students' problem-solving skills, confidence, and ability to approach complex computational tasks. The findings emphasize the need for curricula that prioritize the development of these foundational skills for future success in software development, artificial intelligence, and other tech-related fields.