Computational Thinking in the resolution of complex problems: SDG 7 Affordable and clean energy Pensamiento Computacional en la resolución de problemas complejos: ODS 7 Energía asequible y no contaminante Academic Article in Scopus uri icon

abstract

  • This study examines the self-assessment of computational thinking skills and the knowledge acquired by university students from Mexico and Guatemala after participating in a training experience on SDG 7: Affordable and Clean Energy, within the context of a web-based learning platform. A pretest-posttest study was designed, involving 243 university students: 152 from Tecnológico de Monterrey, Mexico (Tec) and 91 from Universidad San Carlos, Guatemala (USAC). Two types of analyses were conducted. The first assessed skills in abstraction, decomposition, pattern identification, and algorithm design. The second analyzed the understanding of concepts related to sustainable energy to establish a theoretical foundation for proposing solutions through the lens of computational thinking. The results suggest that the integration of computational thinking and the use of online educational platforms have a positive impact on students' self-assessment, while also enhancing their analytical skills to address issues related to SDG 7. These findings support the effectiveness of computational thinking as a strategy for solving complex problems. © 2025 Universidad de Murcia. All rights reserved.

publication date

  • January 1, 2025