Computational thinking and coding in primary education: scientific productivity on SCOPUS
- Annalisa Piazza 1
- Santiago Mengual-Andrés 2
- 1 Instituto Comprensivo "E. Contino" Cattolica Eraclea
-
2
Universitat de València
info
ISSN: 1133-8482
Ano de publicación: 2020
Número: 59
Páxinas: 147-181
Tipo: Artigo
Outras publicacións en: Pixel-Bit: Revista de medios y educación
Resumo
En los últimos decenios, el pensamiento computacional ha desempeñado un papel fundamental en la educación y en los procesos legislativos de muchos países, recibiendo también gran atención por parte de diversas organizaciones internacionales que han pedido expresamente que se promueva a partir de la educación escolar. El presente estudio analiza la productividad científica en SCOPUS sobre el pensamiento computacional y su difusión en las escuelas, con referencia específica al contexto K-12 (desde la educación infantil hasta el duodécimo curso). El estudio se ha extendido hasta 2006, cuando Jeannette Wing publicó el artículo principal sobre el pensamiento computacional, iniciando un conjunto de investigaciones y proyectos sobre esta temática, de tal manera que, hasta la fecha, en mayo de 2020, encontramos 1.850 citas de su publicación en SCOPUS. Los datos ofrecen un panorama global sobre la evolución del fenómeno, mostrando un aumento del interés, los principales países promotores; las fuentes, los autores y las obras más citadas, proporcionando así una buena referencia para el sector de la investigación científica acerca del fenómeno del pensamiento computacional en la educación, un tema que hoy es más relevante y significativo que nunca. El presente estudio también representa una herramienta para la reflexión sobre la necesidad de educar a los jóvenes del siglo XXI en el pensamiento computacional con el fin de que adquieran las habilidades específicas que requiere el mercado laboral actual
Referencias bibliográficas
- Aho, A. V. (2012). Computation and computational thinking. The Computer Journal, 55(7), 832-835. https://doi.org/10.1093/comjnl/bxs074
- Angeli, C., Voogt, J., Fluck, A., Webb, M., Cox, M., Malyn-Smith, J., & Zagami, J. (2016). A K-6 computational thinking curriculum framework: Implications for teacher knowledge. Journal of Educational Technology & Society, 19(3), 47-57.
- Ariza, T., Granados, M. R., Ramiro, M. T., & Gómez-García, A. (2011a). Una década de la revista española de orientación y psicopedagogía: Un análisis bibliométrico de su evolución. Revista Española De Orientación Y Psicopedagogía, 22(1), 38-57. https://doi.org/10.5944/reop.vol.22.num.1.2011.76
- Ávalos, C., Pérez-Escoda, A., & Monge, L. (2019). Lean Startup as a Learning Methodology for Developing Digital and Research Competencies. Journal of New Approaches in Educational Research, 8(2) 227-242, https://doi.org/10.7821/naer.2019.7.438
- Barr, D., Harrison, J., & Conery, L. (2011). Computational thinking: A digital age skill for everyone. Learning & Leading with Technology, 38(6), 20-23.
- Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., & Engelhardt, K. (2016). Developing Computational Thinking in Compulsory Education-Implications for Policy and Practice, Sevilla: Joint Research Centre. http://doi. org/10.2791/792158.
- Bracho, R., Jiménez-Fanjul, N., Maz-Machado, A., Torralbo-Rodríguez, M., & Fernández-Cano, A. (2014). Producción científica sobre narrativa en educación matemática en la Web of Science. Bolema: Boletim De Educación Matemática, 28(49), 744-761. https://doi.org/10.1590/1980-4415v28n49a14
- Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. Paper presented at the Proceedings of the 2012 Annual Meeting of the American Educational Research Association, Vancouver, Canada,1-25.
- Burkle, M., & Cobo, C. (2018). Redefining Knowledge in the Digital Age. Journal of New Approaches in Educational Research, 7(2), 79-80. http://dx.doi.org/10.7821/naer.2018.7.294
- Caballero-Gonzalez, Y., Muñoz-Repiso, A. G., & García-Holgado, A. (2019). Learning computational thinking and social skills development in young children through problem solving with educational robotics. Paper presented at the Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality, 19-23. https://doi.org/10.1145/3362789.3362874
- Calao, L. A., Moreno-León, J., Correa, H. E., & Robles, G. (2015). Developing mathematical thinking with scratch. Design for teaching and learning in a networked world, 17-27) Springer. Cham. https:// doi.org/10.1007/978-3-319-24258-3_2
- Denner, J., Werner, L., & Ortiz, E. (2012). Computer games created by middle school girls: Can they be used to measure understanding of computer science concepts? Computers & Education,58(1), 240- 249. https://doi.org/10.1016/j.compedu.2011.08.006
- Durak, H. Y., & Saritepeci, M. (2018). Analysis of the relation between computational thinking skills and various variables with the structural equation model. Computers & Education, 116, 191-202. https://doi.org/10.1016/j.compedu.2017.09.004
- García-Peñalvo, F. J., & Mendes, A. J. (2018). Exploring the Computational Thinking Effects in Pre-University Education, Computers in Human Behavior 80, 407-411. https://doi.org/10.1016/j. chb.2017.12.005
- Gómez, I. A., Vázquez-Cano, E., & López-Meneses, E. (2016). El impacto bibliométrico del movimiento MOOC en la comunidad científica española. Educación XX1,19(2), 77-103. https://doi.org/10.5944/ educXX1.13217
- 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/10.3102%2F0013189X12463051
- Infante-Moro, A., Infante-Moro, J., & Gallardo-Pérez, J. (2019). The Importance of ICTs for Students as a Competence for their Future Professional Performance: the Case of the Faculty of Business Studies and Tourism of the University of Huelva. Journal of New Approaches in Educational Research, 8(2), 201-213. http://dx.doi.org/10.7821/naer.2019.7.434
- Kafai, Y. B., & Burke, Q. (2015). Constructionist gaming: Understanding the benefits of making games for learning. Educational Psychologist,50(4), 313-334. https://doi.org/10.1080/00461520.2015.1124 022
- Kafai, Y. B., Lee, E., Searle, K., Fields, D., Kaplan, E., & Lui, D. (2014). A crafts-oriented approach to computing in high school: Introducing computational concepts, practices, and perspectives with electronic textiles. ACM Transactions on Computing Education (TOCE),14(1), 1-20. https://doi. org/10.1145/2576874
- Kalelioglu, F., Gulbahar, Y., & Kukul, V. (2016). A framework for computational thinking based on a systematic research review. Baltic Journal of Modern Computing,4(3), 583.
- Lockwood, J., & Mooney, A. (2017). Computational thinking in education: Where does it fit? A systematic literary review. ArXiv Preprint arXiv:1703.07659, (under review).
- Lye, S. Y., & Koh, J. H. L. (2014). Review on teaching and learning of computational thinking through programming: What is next for K-12. Computers in Human Behavior,41, 51-61. https://doi. org/10.1016/j.chb.2014.09.012
- Mannila, L., Dagiene, V., Demo, B., Grgurina, N., Mirolo, C., Rolandsson, L., & Settle, A. (2014). Computational thinking in K-9 education. Paper presented at the Proceedings of the Working Group Reports of the 2014 on Innovation & Technology in Computer Science Education Conference, 1-29. https://doi.org/10.1145/2713609.2713610
- Mengual-Andrés, S., Vázquez-Cano, E., & Meneses, E. L. (2017). La productividad científica sobre MOOC: Aproximación bibliométrica 2012-2016 a través de SCOPUS. RIED. Revista Iberoamericana De Educación a Distancia,20(1), 39-58. http://dx.doi.org/10.5944/ried.20.1.16662
- Miller, J. (2019). STEM education in the primary years to support mathematical thinking: Using coding to identify mathematical structures and patterns. Zdm,51(6), 915-927. https://doi.org/10.1007/ s11858-019-01096-y
- Papavlasopoulou, S., Giannakos, M. N., & Jaccheri, L. (2017). Empirical studies on the maker movement, a promising approach to learning: A literature review. Entertainment Computing,18, 57- 78. https://doi.org/10.1016/j.entcom.2016.09.002
- Peritz, B., & Bar-Ilan, J. (2002). The sources used by bibliometrics-scientometrics as reflected in references. Scientometrics, 54(2), 269-284.
- Pugnali, A., Sullivan, A., & Bers, M. U. (2017). The impact of user interface on young children’s computational thinking. Journal of Information Technology Education: Innovations in Practice, 16, 171- 193. Informing Science Institute. Retrieved from https://www.learntechlib.org/p/180753/
- Recommendation of the European Parliament and of the council of 18 December 2006 on key competences for lifelong learning (2006, 18 December) Retrieved from https://eur-lex.europa.eu/ legal-content/EN/TXT/?uri=celex%3A32006H0962
- Rees, A., García-Peñalvo, F. J., Jormanainen, I., Tuul, M., & Reimann, D. (2016). An overview of the most relevant literature on coding and computational thinking with emphasis on the relevant issues for teachers.
- Reinking, A., & Martin, B. (2018). The gender gap in STEM fields: Theories, movements, and ideas to engage girls in STEM. Journal of New Approaches in Educational Research, 7(2), 148-153. https://doi. org/10.7821/naer.2018.7.271
- Resnick, M. (2013). Learn to code, code to learn. EdSurge, May.
- Rodríguez-García, A.-M., Cáceres Reche, M. P., & Alonso García, S. (2018). The digital competence of the future teacher: bibliometric analysis of scientific productivity indexed in Scopus. IJERI: International Journal of Educational Research and Innovation, (10), 317-333. Retrieved from https:// www.upo.es/revistas/index.php/IJERI/article/view/2960
- Roig-Vila, R., & Moreno-Isac, V. (2020). El pensamiento computacional en Educación. Análisis bibliométrico y temático. Revista De Educación a Distancia (RED), 20(63). https://doi.org/10.6018/ red.402621
- Sáez-López, J., Román-González, M., &Vázquez-Cano, E. (2016). Visual programming languages integrated across the curriculum in elementary school: A two-year case study using “Scratch” in five schools. Computers & Education, 97, 129-141. https://doi.org/10.1016/j.compedu.2016.03.003
- Salcines-Talledo, I., González-Fernández, N., & Briones, E. (2020). The Smartphone as a Pedagogic Tool. Student Profiles as related to its Use and Knowledge. Journal of New Approaches in Educational Research, 9(1), 91-109. http://dx.doi.org/10.7821/naer.2020.1.454
- Sengupta, P., Dickes, A., & Farris, A. (2018). Toward a phenomenology of computational thinking in STEM education. arXiv Preprint arXiv:1801.09258, en M. S. Khine (Ed.), Computational Thinking in STEM: Foundations and Research Highlights. Springer, Cham. https://doi.org/10.1007/978-3- 319-93566-9_4
- Sentance, S., & Csizmadia, A. (2017). Computing in the curriculum: Challenges and strategies from a teacher’s perspective. Education and Information Technologies, 22(2), 469-495. https://doi. org/10.1007/s10639-016-9482-0
- Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142-158. https://doi.org/10.1016/j.edurev.2017.09.003
- Tang, X., Yin, Y., Lin, Q., & Hadad, R. (2018). Assessing computational thinking: A systematic review of the literature. Paper presented at the Poster Presented at the 2018 Annual Meeting of the American Educational Research Association (AERA), New York.
- Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi. org/10.1145/1118178.1118215
- Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 366(1881), 3717-3725. https://doi.org/10.1098/ rsta.2008.0118
- 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/10.1007/s11528-016-0087-7
- Yadav, A., Krist, C., Good, J., & Caeli, E. N. (2018). Computational thinking in elementary classrooms: Measuring teacher understanding of computational ideas for teaching science. Computer Science Education, 28(4), 371-400. https://doi.org/10.1080/08993408.2018.1560550
- Zhang, L., & Nouri, J. (2019). A systematic review of learning computational thinking through scratch in K-9. Computers & Education, 141, 103607. https://doi.org/10.1016/j.compedu.2019.103607