Programming Technologies for Social Inclusion With Scratch: Computational Practices in a Teacher’s Professional Development Course

Keywords: Computational thinking, Teacher professional development, Scratch, Technologies for Social Inclusion

Abstract

In recent years, there is an interest in developing practices, concepts and perspectives of computational thinking and programming in schools. Therefore, it is crucial to train teachers in these subjects. However, little is known about the process that teachers follow when approaching these new contents. In this context, the present exploratory and intrinsic case study aims to analyze the computational thinking practices developed by a group of 13 teachers while participating in a professional development workshop, where they created technologies for social inclusion (TIS) by programming with Scratch. The analysis of the different data collected during this pilot experience (surveys, productions carried out by the participants, audio recordings, etc.) evidences a close articulation between computational practices and programming of hypermedia projects that addresse participants’ contextualized problematics. These results show that professional development related to programming was proposed as a process close to the day-to-day reality of teachers, highlighting the importance of generating mediated and situated educational practices. Designing a training path to create TIS appears, in this sense, as a valid option for the teaching of programming and the development of computational thinking, in line with previous studies that proposed professional development courses for teachers from contextualized proposals, and using significant examples in a community and collaborative framework of reflection and exchange.

Author Biography

Natalia Monjelat, Instituto Rosario de Investigaciones en Ciencias de la Educación
Licenciada en Psicopedagogía (UNSAM. Buenos Aires, Argentina), Máster en Comunicación y Aprendizaje en la sociedad digital y  Dra. en Comunicación, Educación y Sociedad (UAH. Madrid, España). Ha sido docente en distintos niveles y participado de diferentes grupos de investigación, siendo actualmente Investigadora Asistente en el Instituto Rosario de Ciencias de la Educación (IRICE. CONICET-UNR). Sus intereses investigativos incluyen: procesos de enseñanza y aprendizaje en diferentes niveles educativos mediados por tecnologías digitales, investigación cualitativa, pensamiento computacional y programación en contextos educativos. Es miembro del equipo de diseño y coordinación de la "Especialización docente de Nivel Superior en Didáctica de las Ciencias de la Computación", sede Rosario, en convenio con la Universidad Nacional de Rosario y la Fundación Sadosky, donde también se desempeña como docente.

References

Apiola, M., &Tedre, M. (2012). New perspectives on the pedagogy of programming in a developing country context. Computer Science Education, 22(3), 285–313. https://doi.org/10.1080/08993408.2012.726871

Arranz, H., & Fuente, D. (2017). Evaluation of Computational Thinking in Primary School. Revista Interuniversitaria de Investigación En Tecnología Educativa (RIITE) No, (3), 25–39.

Balanskat, A., & Engelhardt, K. (2015). Computing our future. Computer programming and coding. Priorities, school curricula and iniciatives across Europe. Brussels, Belgium.

Barcelos, T., Bortoletto, R., &Andrioli, M. (2016). Formação online para o desenvolvimento do Pensamento Computacional emprofessores de Matemática. In Anais dos Workshops do V Congresso Brasileiro de Informática na Educação (CBIE 2016). Sociedade Brasileira de Computação (SBC). https://doi.org/10.5753/cbie.wcbie.2016.1228

Brackmann, C., Barone, D., Casali, A., Boucinha, R., & Muñoz-Hernandez, S. (2016). Computational thinking: Panorama of the Americas. 2016 International Symposium on Computers in Education, SIIE 2016: Learning Analytics Technologies, 1–6. https://doi.org/10.1109/SIIE.2016.7751839

Brennan, K. (2013). Best of both worlds: issues of structure and agency in computational creation, in and out of the school. Massachussets Institute of Technology.

Brennan, K., & Resnick, M. (2011).Computational Thinking Practices ScratchEd Webinar Series. Recuperado de: http://scratched.gse.harvard.edu/sites/default/files/april-2011-ct-practices.pdf

Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Annual American Educational Research Association meeting (pp. 1–25). Vancouver, Canada: AERA. https://doi.org/10.1.1.296.6602

Gee, J. P., & Green, J. L. (1998). Discourse analysis, learning and social practice: A methodological study. Review of Research in Education, 23.

Grover, S., & Pea, R. (2013). Computational Thinking in K–12: A Review of the State of the Field. Educational Researcher, 42(1), 38–43. Retrieved from http://edr.sagepub.com/content/42/1/38.full.pdf

Heintz, F., Mannila, L., &Farnqvist, T. (2016). A review of models for introducing computational thinking, computer science and computing in K-12 education. In Proceedings - Frontiers in Education Conference, FIE. https://doi.org/10.1109/FIE.2016.7757410

Kafai, Y. B., Searle, K., Kaplan, E., Fields, D., Lee, E., &Lui, D. (2013). Cupcake cushions, scooby doo shirts, and soft boomboxes. In Proceeding of the 44th ACM technical symposium on Computer science education - SIGCSE ’13 (p. 311). Denver, Colorado, USA: ACM. https://doi.org/10.1145/2445196.2445291

Lave, J., & Wenger, E. (1991). Situated learning: legitimate peripherial participation. Cambridge, UK: Cambridge University Press.

Lye, S. Y., Koh, J. H.. (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

Maloney, J., Resnick, M., Rusk, N., Silverman, B., &Eastmond, E. (2010). The Scratch Programming Language and Environment. ACM Transactions on Computing Education, 10(4), 1–15. https://doi.org/10.1145/1868358.1868363

Menekse, M. (2015). Computer science teacher professional development in the United States: a review of studies published between 2004 and 2014. ComputerScienceEducation, 25(4), 325–350. https://doi.org/10.1080/08993408.2015.1111645

Martínez, M. C., Echeveste, M. E., &Martinez, M. &Echeveste, M. (2014). El rol de las comunidades de aprendizaje en la construcción de una visión común para la enseñanza de computación en las escuelas. Revista Iberoamericana de Educación, 65(65), 19–36. Retrievedfrom http://www.rieoei.org/rie65a01.pdf

Morreale, P., Jimenez, L., Goski, C., & Stewart-Gardiner, C. (2012). Measuring the impact of computational thinking workshops on high school teachers. Journal of Computing Sciences in Colleges, 27(6), 151–157.

Ohashi, Y. (2017). Informatics in Schools: Focus on Learning Programming, 10696, 129–140. https://doi.org/10.1007/978-3-319-71483-7

Palma Suárez, C. A., & Sarmiento Porras, R. E. (2015). Estado del arte sobre experiencias de enseñanza de programación a niños y jóvenes para el mejoramiento de las competencias matemáticas en primaria. Revista Mexicana de Investigacion Educativa, 20(65), 607–641.

Reding, T. E., & Dorn, B. (2017). Understanding the “Teacher Experience ” in Primary and Secondary CS Professional Development. Proceedings of the 2017 ACM Conference on International Computing Education Research, 155–163. https://doi.org/10.1145/3105726.3106185

Rich, P. J., Lindley Jones, B., Belikov, O., Yoshikawa, E., & Perkins, M. (2017). Computing and Engineering in Elementary School: The Effect of Year-long Training on Elementary Teacher Self-efficacy and Beliefs About Teaching Computing and Engineering. International Journal of Computer Science Education in Schools, 1(1), 1. https://doi.org/10.21585/ijcses.v1i1.6

Sáez-Lopez, J.-M., 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.

Thomas, H., Fressoli, M., & Santos, G. (2012).Tecnología, desarrollo y democracia: nueve estudio sobre dinámicas socio-técnicas de exclusión-inclusión social. Buenos Aires: Ministerio de Ciencia y Tecnología e Innovación Productiva de la Nación.

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. (M. Cole, V. John-Steiner, S. Scribner, & E. Souberman, Eds.). Cambridge, MA: Harvard University Press.

Wing, J. M. (2011). Research Notebook: Computational thinkingwhat and Why? The link. The magazine of the Carnegie Mellon University School of Computer Science. Retrieved from http://www.cs.cmu.edu/link/research-notebook- computational-thinking-what-and-why.

Yadav, A., Gretter, S., Good, J., McLean, T. (2017) Computational Thinking in Teacher Education. In: Rich P., Hodges C. (eds) Emerging Research, Practice, and Policy on Computational Thinking. Educational Communications and Technology: Issues and Innovations. Springer, Cham

Yadav, A., Stephenson, C., & Hong, H. (2017). Computational thinking for teacher education. Communications of the ACM, 60(4), 55–62. https://doi.org/10.1145/2994591

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

Yin, R. K. (2003). Case Study Research: Design and Methods (Vol. Applied so). London: Sage.

Published
2019-05-03
How to Cite
Monjelat, N. (2019). Programming Technologies for Social Inclusion With Scratch: Computational Practices in a Teacher’s Professional Development Course. Revista Electrónica Educare, 23(3), 1-25. https://doi.org/10.15359/ree.23-3.9