Enhancing Computational Thinking through Project-Based Learning: A Structured Framework and Empirical Analysis
Keywords:
Project-based learning, Computational thinking, Iterative development, Instructional design, Educational framework.Abstract
This research investigates the integration of project-based learning with computational thinking to develop an effective instructional framework. The study aimed to: 1) develop a conceptual framework for project-based learning that enhances computational thinking, 2) construct a practical model derived from this framework, and 3) evaluate the post-intervention learning outcomes. The research instruments comprised a structured project-based learning process and a validated assessment tool for computational thinking skills. The results revealed that 83.87% of the participants (n=31) demonstrated proficiency in computational thinking skills after engaging with the learning process, exceeding the established threshold of 80%. The framework exhibited a high degree of reliability (α=0.81), while the assessment tool demonstrated appropriate difficulty indices (p=0.32-0.74) and discrimination indices (r=0.37-0.76). The efficacy of this approach is attributed to its facilitation of iterative development through hands-on problem-solving activities that produce tangible outcomes. This study contributes to educational methodology by providing an empirically-validated framework that systematically develops computational thinking through project-based experiences.
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