Strengthening Computational Thinking in Engineering and Health Students Through Iot Activities and Block-Based Programming

Objective: The objective of this study is to evaluate computational thinking skills in engineering and health students at a public university in Peru. Theoretical Framework: To support the research, various theories on computational thinking, IoT, and block-based programming were reviewed. Additionally, evaluation instruments and problem-solving steps were analyzed. Method: These activities were developed using technological resources and block-based programming, integrated into an IoT environment. A quasi-experimental design with pre- and post-tests was employed to measure the impact of IoT activities and block-based programming in the classroom. Results and Discussion: The results obtained revealed [synthesize the main results of the research]. In the discussion section, these results are contextualized in light of the theoretical framework, highlighting the implications and relationships identified. Possible discrepancies and limitations of the study are also considered in this section. Research Implications: The results revealed that both engineering and health students improved their computational thinking skills in a balanced manner. However, it was observed that health students placed greater emphasis on the use of sensors, actuators, and block-based programming. Originality/Value: This study enriches the literature by applying methods that integrate technological resources in the classroom. The relevance and value of this research are evident in the urgent need to develop innovations that break the monotony of traditional educational approaches, offering students more dynamic learning experiences.