Literacy and computational thinking in educational contexts: contributions from critical and situated approaches
DOI:
https://doi.org/10.35305/revistairice.vi49.2092Keywords:
computational thinking, computer science, sociocultural approach, education, critical perspectiveAbstract
The development of computational thinking (CT) skills is considered fundamental to Computer Science (CS) pedagogy. While there are differences regarding what CT might encompass and what its specific elements are, various authors agree that it is a central analytical thinking skill for all sciences. Similarly, several authors point out that the cognitive approach to CT has been the dominant and largely unchallenged paradigm in the most recent wave of computing education initiatives from preschool to secondary school. However, the importance of broadening definitions has been highlighted to understand how CT can become a central element in promoting educationally relevant computational literacies. Given this situation, this paper presents the foundations that support critical and situated views of CT, and then identifies and analyzes proposals that have been developed from these frameworks in educational contexts. This is expected to contribute to the field of science teaching, highlighting proposals and approaches that reflect the complexity of the disciplinary field in a highly digitalized sociocultural context, where CT is essential.
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References
Bourdieu, P. (1986). The forms of capital. En J. Richardson (Ed.), Handbook of theory and research for the sociology of education (pp. 241-258). Greenwood.
Edwards, V. (1997). Las formas del conocimiento en el aula. En E. Rockwell (Ed.), La escuela cotidiana (pp. 145-172). Fondo de Cultura Económica.
Espinoza, M. L., Vossoughi, S., Rose, M., & Poza, L. E. (2020). Matters of participation: notes on the study of dignity and learning. Mind, Culture, and Activity, 27(4), 325-347. https://doi.org/p5mr
Garret, N., Beard, N., & Fiesler, C. (2020). More than “If Time Allows" the role of ethics in AI education. En Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, (pp. 272-278). ACM.
Gay, G. (2010). Culturally responsive teaching: theory, research and practiced (2ª ed.). Teachers College Press.
Godhe, A-L., Lilja, P., & Selwyn, N. (2019). Making sense of making: critical issues in the integration of maker education into schools. Technology, Pedagogy and Education, 28(3), 317-328. https://doi.org/gh8fsq
Grover, S., & Pea, R. (2013). Computational thinking in K–12: a review of the state of the field. Educational Researcher, 42(1), 38-43. https://doi.org/cgc6
Gutiérrez, R. (2009). Framing equity: helping students “play the game” and “change the game”. Teaching for Excellence and Equity in Mathematics, 1, 4-8. https://doi.org/p5ms
Henrique, B. (2025). Exploring critical CS teacher education program design through a science and technology studies approach. En Proceedings of the 56th ACM Technical Symposium on Computer Science Education, V. 1 –SIGCSE TS 2025– (pp. 478-484). ACM. https://doi.org/p6bq
Kafai, Y. B., & Proctor, C. (2021). A revaluation of computational thinking in K-12 education: Moving toward computational literacies. Educational Researcher, 51(2), 146-151. https://doi.org/gqv6cf
Kafai, Y. B., Proctor, C., & Lui, D. (2020). From theory bias to theory dialogue: embracing cognitive, situated, and critical framings of computational thinking in K-12 CS education. ACM Inroads, 11(1), 44-53. https://doi.org/gqv6ch
Ko, A. J., Beitlers, A., Everson, J., Wortzman, B., & Gallagher, D. (2023). Proposing, preparing, and teaching an equity- and justice centered secondary pre-service CS teacher education program. Proceedings of the 54th ACM Technical Symposium on Computer Science Education, 1, 583-589. https://doi.org/p5mt
Ko, A. J., Beitlers, A., Wortzman, B., Davidson, M., Oleson, A., Kirdani-Ryan, A., Druga, S., & Everson, J. (2025). Computación críticamente consciente: métodos para la educación secundaria. https://goo.su/OlTWzPf
Ko, A. J., Oleson, A., Ryan, N., Register, Y., Xie, B., Tari, M., Davidson, M., Druga, S., & Loksa, D. (2020). It is time for more critical CS education. Communications of the ACM, 63(11), 31-33. https://doi.org/ghn2v8
Kong, S., & Abelson, H. (2019). Computational thinking education. Springer Open.
Ladson-Billings, G. (1995). Toward a theory of culturally relevant pedagogy. American Educational Research Journal, 32(3), 465-491. https://doi.org/dx3gcj
Lave, J., & Wenger, E. (1991). Aprendizaje situado: participación periférica legítima. Cambridge University Press.
Leonard, H. C., & Sentance, S. (2021). Culturally-relevant and responsive pedagogy in computing: a quick scoping review. International Journal of Computer Science Education in Schools, 5(2), 3-13. https://doi.org/p5mv
Madkins, T. C., Howard, N. R., & Freed, N. (2020). Engaging equity pedagogies in computer science learning environments. Journal of Computer Science Integration, 3(2), 1-27. https://doi.org/p5mw
Margolis, J., Estrella, R., Goode, J., Holme, J. J., & Nao, K. (2008). Stuck in the shallow end: education, race, and computing. MIT Press.
Margolis, J., & Goode, J. (2016). Ten lessons for computer science for all. ACM Inroads, 7(4), 52-56. https://doi.org/p5mz
Margolis, J., Ryoo, J. J., Sandoval, C. D., Lee, C., Goode, J., & Chapman, G. (2012). Beyond access: broadening participation in high school computer science. ACM Inroads, 3(4), 72-78. https://doi.org/p5mx
McGee Banks, C. A., & Banks, J. A. (1995). Equity pedagogy: an essential component of multicultural education. Theory into Practice, 34(3), 152-158. https://doi.org/c6vhs5
Monjelat, N., Bruno, M. J., Pidello, M. A., & Salvador, R. (2021). Formación docente en ciencias de la computación: hacia una transversalidad situada en comunidad. Ciencia, Docencia y Tecnología, 63, 49-51. https://doi.org/p5m3
Monjelat, N., & Lantz-Andersson, A. (2020). Teachers’ narrative of learning to program in a professional development effort and the relation to the rhetoric of computational thinking, Education and Information Technologies, 25, 2175-2200. https://doi.org/gjcb9c
Papert, S. (1980). Children, computers, and powerful ideas (Vol. 10). Harvester.
Paris, D. (2012). Culturally sustaining pedagogy: a needed change in stance, terminology, and practice. Educational Researcher, 41(3), 93-97. https://doi.org/gcv663
Rich, P. J., & Langton, M. B. (2016). Computational thinking : toward a unifying definition. En J. Spector, D. Ifenthaler, D. Sampson & P. Isaias (Eds.), Competencies in teaching, learning and educational leadership in the digital age (pp. 229-242). Springer Cham. https://doi.org/p5m4
Ryoo, J. J., Tanksley, T., Estrada, C., & Margolis, J. (2020). Take space, make space: how students use computer science to disrupt and resist marginalization in schools. Computer Science Education, 30(3), 337-361. https://doi.org/p5m5
Santo, R., Vogel, S., Ryoo, J., Denner, J., Belgrave, C., Morris, A.,& Tirado, A. (2020). Who has a seat at the table in CSed? Rethinking equity through the lens of decision-making and power in computer science education initiatives. En The 51st ACM Technical Symposium on Computer Science Education –SIGCSE ’20– (pp. 11-14). ACM. https://doi.org/p6bc
Scott, K. A., Sheridan, K. M., & Clark, K. (2015). Culturally responsive computing: a theory revisited. Learning, Media and Technology, 40(4), 412-436. https://doi.org/gc7r3h
Scott, K. A., & White, M. A. (2013). COMPUGIRLS’ standpoint: culturally responsive computing and its effect on girls of color. Urban Education, 48(5), 657-681. https://doi.org/p5m6
Sfard, A. (1998). On two metaphors for learning and the dangers of choosing just one. Educational researcher, 27(2), 4-13. https://doi.org/bvwtcc
Tenenberg, J., & Knobelsdorf, M. (2014). Out of our minds: a review of sociocultural cognition theory. Computer Science Education, 24(1), 1-24. https://doi.org/gfzw2p
Ullman, C., & Hecsh, J. (2011). These American lives: becoming a culturally responsive teacher and the ‘risks of empathy.’ Race Ethnicity and Education, 14(5), 603-629. https://doi.org/cmdbxb
Vakil, S. (2018). Ethics, identity, and political vision: toward a justice-centered approach to equity in computer science education. Harvard Educational Review, 88, 26-52. https://doi.org/ggx42n
Varon, J., & Pena, P. (2021). Artificial intelligence and consent: a feminist anti-colonial critique. Internet Policy Review, 10(4), 1-25. https://doi.org/p5m7
Whitcomb, K. M., & Singh, C. (2021). Underrepresented minority students receive lower grades and have higher rates of attrition across STEM disciplines: A sign of inequity? International Journal of Science Education, 43(7), 1054-1089. https://doi.org/mxjc
Williams, R., Kaputsos, S., & Breazeal, C. (2021). Teacher perspectives on how to train your robot: a middle school AI and ethics curriculum. Proceedings of the AAAI Conference on Artificial Intelligence, 35(17), 5678-15686. https://doi.org/p5m8
Wing, J. (2006). Pensamiento computacional. Comunicaciones de la ACM, 49(3), 33-35. https://doi.org/fd3h5w
Wing, J. (2011, 23 de junio). Research notebook: Computational thinking - What and why? The Link Magazine, 6, 20-23. https://goo.su/ag3xq2
Yadav, A., Hong, H., & Stephenson, C. (2016). Computational thinking for all: pedagogical approaches to embedding 21st century problem solving in K-12 classrooms. TechTrends, 60(6), 565-568. https://doi.org/ggdpgs
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