Relación entre la disposición hacia el pensamiento crítico y el pensamiento computacional en estudiantes de ingeniería de una universidad peruana
Relationship between the disposition toward critical thinking and computational thinking in engineering students from a peruvian UniversityBarra lateral del artículo
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El estudio tuvo como objetivo determinar la relación entre la disposición hacia el pensamiento crítico y el pensamiento computacional en estudiantes universitarios de ingeniería de una universidad peruana. Se aplicó un enfoque cuantitativo con alcance correlacional y diseño transversal. La población estuvo conformada por 475 estudiantes y la muestra por 298 participantes de las distintas facultades de ingeniería. Se emplearon instrumentos validados y con adecuados niveles de confiabilidad: la Critical Thinking Disposition Scale y la Computational Thinking Scale. Los resultados mostraron una correlación positiva y alta (ρ = 0.817, p < 0.01), lo que indica que los estudiantes con mayor disposición crítica, caracterizada por apertura a nuevas ideas y escepticismo reflexivo, tienden a presentar niveles más elevados de pensamiento computacional. Se concluye que fortalecer la disposición crítica en el ámbito universitario favorece el desarrollo del pensamiento computacional y promueve actitudes cognitivas esenciales para la formación integral de los futuros ingenieros.
The study aimed to determine the relationship between the disposition toward critical thinking and computational thinking in engineering university students from a Peruvian university. A quantitative approach with a correlational scope and cross-sectional design was applied. The population consisted of 475 students, and the sample included 298 participants from different engineering faculties. Valid and reliable instruments were used: the Critical Thinking Disposition Scale and the Computational Thinking Scale. The results showed a positive and strong correlation (ρ = 0.817, p < 0.01), indicating that students with a higher critical disposition, characterized by openness to new ideas and reflective skepticism, tend to present higher levels of computational thinking. It is concluded that strengthening critical disposition within the university context fosters the development of computational thinking and promotes cognitive attitudes essential for the comprehensive training of future engineers.
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Álvarez-Huerta, P., Muela, A., y Larrea, I. (2023). Disposition Towards Critical Thinking and Student Engagement in Higher Education. Innovative Higher Education, 48(2), 239-256. https://doi.org/10.1007/s10755-022-09614-9
Alvidrez, M., Wayllace, C., y Castillo, R. T. (2024, octubre 13-16). WIP: SABERR, A structured error-based assessment in AI education. In 2024 IEEE Frontiers in Education Conference (FIE). https://doi.org/10.1109/FIE61694.2024.10893087
Andrae, S. (2025). Critical Thinking in the Age of Algorithms. In M. Lytras, P. Ordóñez de Pablos, y T. Aldosemani (Eds.), Fostering Teacher Skills and Critical Thinking in Modern Education (pp. 221-258). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-1692-5.ch010
Andreucci-Annunziata, P., Riedemann, A., Cortés, S., Mellado, A., del Río, M. T., y Vega-Muñoz, A. (2023). Conceptualizations and instructional strategies on critical thinking in higher education: A systematic review of systematic reviews. Frontiers in Education, 8, 1141686. https://doi.org/10.3389/feduc.2023.1141686
Bell, R., y Loon, M. (2015). Reprint: The impact of critical thinking disposition on learning using business simulations. International Journal of Management Education, 13(3), 362-370. https://doi.org/10.1016/j.ijme.2015.10.003
Bravo, M. J., Galiana, L., Rodrigo, M. F., Navarro-Pérez, J. J., y Oliver, A. (2020). An adaptation of the Critical Thinking Disposition Scale in Spanish youth. Thinking Skills and Creativity, 38, 100748. https://doi.org/10.1016/j.tsc.2020.100748
Facione, P. (2007). Pensamiento Crítico: ¿Qué es y por qué es importante? Insight assessment, 23(1), 22-56. https://zona141camargotam.wordpress.com/wp-content/uploads/2012/05/diplomado-3c2b0-y-4c2b0-mc3b3dulo-3pensamiento_critico_facione.pdf
Facione, P. A. (2000). The disposition toward critical thinking: Its character, measurement, and relationship to critical thinking skill. Informal logic, 20(1). https://doi.org/10.22329/il.v20i1.2254
Facione, P. A., Sanchez, C. A., Facione, N. C., y Gainen, J. (1995). The disposition toward critical thinking. The Journal of general education, 44(1), 1-25. https://www.jstor.org/stable/27797240
Golubinskaya, A. V., y Viakhireva, V. V. (2024). Critical Thinking in the Context of Embodied Cognition: A Review of Research and its Pedagogical Potential. Psychological Science and Education, 29(3), 145-159. https://doi.org/10.17759/pse.2024290309
Gomez, A., Guzman-Jimenez, R., y Cardenas-Garro, J. (2025). Designing a high school computational thinking test using evidence-centered design. In International Conference on Technological Innovation and AI Research, ICTIAIR 2025 (4 ed., Vol. 2025, pp. 17-24). Institution of Engineering and Technology. https://doi.org/10.1049/icp.2025.1239
Harimurti, R., Ekohariadi, Munoto, y Igp Asto, B. (2019). The concept of computational thinking toward information and communication technology learning. IOP Conference Series: Materials Science and Engineering, 535(1), 012004. https://doi.org/10.1088/1757-899X/535/1/012004
Ho, W. K., Looi, C. K., Huang, W., Seow, P., y Wu, L. (2021). Computational thinking in mathematics: To be or not to be, that is the question. In Mathematics-Connection and Beyond: Yearbook 2020 Association of Mathematics Educators (pp. 205-234). https://doi.org/10.1142/9789811236983_0011
Hyytinen, H., Jämsä, M., Tuononen, T., y Kleemola, K. (2025). A systematic-narrative review of performance-based assessments of critical thinking in higher education. Assessment and Evaluation in Higher Education, 1-18. https://doi.org/10.1080/02602938.2025.2553341
John Lemay, D., Basnet, R. B., Doleck, T., Bazelais, P., y Saxena, A. (2021). Instructional interventions for computational thinking: Examining the link between computational thinking and academic performance. Computers and Education Open, 2, 100056. https://doi.org/10.1016/j.caeo.2021.100056
Kaya, D., Yaşar, A. Ö., Çetin, İ., y Kutluca, T. (2025). The relationship between the 21st-century skills and computational thinking skills of prospective mathematics and science teachers. Journal of Pedagogical Research, 9(1), 73-95. https://doi.org/10.33902/JPR.202531498
Küçükaydın, M. A., y Çite, H. (2024). Computational thinking in primary school: effects of student and school characteristics. Education and Information Technologies, 29(5), 5631-5649. https://doi.org/10.1007/s10639-023-12052-5
Kules, B. (2016). Computational thinking is critical thinking: Connecting to university discourse, goals, and learning outcomes. Proceedings of the Association for Information Science and Technology, 53(1), 1-6. https://doi.org/10.1002/pra2.2016.14505301092
Kumar, I., y Mohd, N. (2024). Ways of using computational thinking to improve students' ability to think critically. In Infrastructure Possibilities and Human-Centered Approaches with Industry 5.0 (pp. 253-266). https://doi.org/10.4018/979-8-3693-0782-3.ch015
Le, H. V., y Chong, S. L. (2024). The Dynamics of Critical Thinking Skills: A Phenomenographic Exploration from Malaysian and Vietnamese Undergraduates. Thinking Skills and Creativity, 51, 101445. https://doi.org/10.1016/j.tsc.2023.101445
Maharani, S., Nusantara, T., As'ari, A. R., y Qohar, A. (2019). Analyticity and systematicity students of mathematics education on solving non-routine problems. Mathematics and Statistics, 7(2), 50-55. https://doi.org/10.13189/ms.2019.070204
Quiroz-Velasco, M. T., y Mateus, J. C. (2024). The Peruvian University: ¿New Models Arising from the Post-Pandemic Uncertainty? In Transformative Practice in Critical Media Literacy: Radical Democracy and Decolonized Pedagogy in Higher Education (pp. 59-68). https://doi.org/10.4324/9781003375555-7
Ren, X., Tong, Y., Peng, P., y Wang, T. (2020). Critical thinking predicts academic performance beyond general cognitive ability: Evidence from adults and children. Intelligence, 82, 101487. https://doi.org/10.1016/j.intell.2020.101487
Salsali, M., Tajvidi, M., y Ghiyasvandian, S. (2013). Critical thinking dispositions of nursing students in Asian and non-Asian countries: a literature review. Global journal of health science, 5(6), 172-178. https://doi.org/10.5539/gjhs.v5n6p172
Sánchez-Miranda, N. A., Dávalos-Almeyda, M., Gutiérrez Pérez, B. N. y Urbina Cárdenas, M. F. (2023). Universidades y pensamiento crítico: una reflexión en Latinoamérica. Encuentros: Revista de Ciencias Humanas, Teoría Social y Pensamiento Crítico (19), 71-82. https://doi.org/10.5281/zenodo.8270616
Shute, V. J., Sun, C., y Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142-158. https://doi.org/10.1016/j.edurev.2017.09.003
Smith, J. M. (2021). Is Computational Thinking Critical Thinking? In Lecture Notes in Educational Technology (pp. 191-201). https://doi.org/10.1007/978-981-15-7579-2_11
Sosu, E. M. (2013). The development and psychometric validation of a Critical Thinking Disposition Scale. Thinking Skills and Creativity, 9, 107-119. https://doi.org/10.1016/j.tsc.2012.09.002
Sotomayor, E. (2023). Pensamiento crítico en el ámbito universitario. Aproximaciones a los estudios comparativos. Delectus, 6(2). https://doi.org/10.36996/delectus.v6i2.198
Sovey, S., Osman, K., y Matore, M. E. E. M. (2022). Rasch Analysis for Disposition Levels of Computational Thinking Instrument Among Secondary School Students. Eurasia Journal of Mathematics, Science and Technology Education, 18(3), 2-15. https://doi.org/10.29333/ejmste/11794
Subhashini, R. (2025). Transformative Approach in Engineering Curricula: Enhancing Computational Thinking Through Literacy Skills for Engineering Learners. International Journal of Engineering Pedagogy, 15(5), 141-149. https://doi.org/10.3991/ijep.v15i5.53461
Sun, L., Hu, L., Zhou, D., y Yang, W. (2023). Evaluation and developmental suggestions on undergraduates’ computational thinking: a theoretical framework guided by Marzano’s new taxonomy. Interactive Learning Environments, 31(10), 6588-6610. https://doi.org/10.1080/10494820.2022.2042311
Tang, X., Yin, Y., Lin, Q., Hadad, R., y Zhai, X. (2020). Assessing computational thinking: A systematic review of empirical studies. Computers and Education, 148, 103798. https://doi.org/10.1016/j.compedu.2019.103798
Tariq, M. U. (2024). Computational Thinking in Educational Policy and Leadership Management. In Navigating Leadership and Policy Management in Education (pp. 77-102). https://doi.org/10.4018/979-8-3693-9215-7.ch003
Tsai, M.-J., Liang, J.-C., Lee, S. W.-Y., y Hsu, C.-Y. (2022). Structural Validation for the Developmental Model of Computational Thinking. Journal of Educational Computing Research, 60(1), 56-73. https://doi.org/10.1177/07356331211017794
Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., y Wilensky, U. (2016). Defining Computational Thinking for Mathematics and Science Classrooms. Journal of Science Education and Technology, 25(1), 127-147. https://doi.org/10.1007/s10956-015-9581-5
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215
Zakaria, N. I., y Iksan, Z. H. (2020). Computational thinking among high school students. Universal Journal of Educational Research, 8(11), 9-16. https://doi.org/10.13189/ujer.2020.082102
Zakaria, P., Djakaria, I., Amin, R., Katili, S., Majid, M., y Maharani, S. (2023). The Relationship Between Computational Thinking and Critical Thinking Disposition in Mathematical Problem Solving: Bibliometric Analysis. AL-ISHLAH: Jurnal Pendidikan, 15(3), 2857-2865. https://doi.org/10.35445/alishlah.v15i3.3162