Teacher education, students’ autonomy and digital technologies: A case study about programming with Scratch
Abstract
How can future mathematics teachers be trained to combine the use of digital technologies with student autonomy? Referring to the documentational approach to didactics, we have designed and implemented an initial training course based on collective documentation work. Here we analyze the work of a team of trainees who designed a session on programming with Scratch, in terms of the potential of the lesson designed for the use of Scratch and student autonomy, and the professional knowledge mobilised. The analysis of this case highlights possibilities and limitations of such a training.
Keywords
Full Text:
PDFReferences
Adler, J. (2000). Conceptualising resources as a theme for teacher education. Journal of Mathematics Teacher Education, 3, 205-224.
Beizhuizen, J., & Steffens, K. (2011). A conceptual framework for research on self-regulated learning. In R. Carneiro, P. Lefrere, K. Steffens & J. Underwood (Eds.), Self-regulated learning in technology enhanced learning environments (pp. 3-20) Rotterdam: Sense Publishers.
Ben-Zvi, D., & Sfard, A. (2007). Ariadne's thread, Daedalus' wings and the learner’s autonomy. Éducation & Didactique, 1(3), 117-134.
Boullis, M. (2017). Myriade Cahier d'algorithmique Cycle 4. Paris: Bordas.
Breed, B., Mentz, E., & Van der Westhuizen, G. J. (2014). A metacognitive approach to pair programming: Influence on metacognitive awareness. Electronic Journal of Research in Educational Psychology, 12, 33-60.
Brousseau, G. (1997). Theory of Didactical Situations in Mathematics. Dordrecht: Kluwer Academic Publishers.
Confrey, J., Maloney, A. P., & Corley, A. K. (2014). Learning trajectories: A framework for connecting standards with curriculum. ZDM, 46(5), 719 733.
Foerster, K.-T. (2016). Integrating programming into the Mathematics Curriculum: Combining Scratch and Geometry in Grades 6 and 7. In Proceedings of the 17th Annual Conference on Information Technology Education – SIGITE, 16 (pp. 91 96). New York, United States: Association for Computing Machinery.
Gaio, A. (2017). Programming for 3rd graders, scratch-bases or unplugged? Paper presented at the Congress of European Research in Mathematics Education (CERME), Dublin, 1-5 February.
Gueudet, G., Bueno-Ravel, L., Modeste, S., & Trouche, L. (2017). Curriculum in France: A national frame in transition. In D. Thompson, M. A. Huntley & C. Suurtamm (Eds.), International Perspectives on Mathematics Curriculum, (pp. 41-70). Charlotte: International Age Publishing.
Gueudet, G., & Lebaud, M.-P. (2019). Développer l’autonomie des élèves en mathématiques grâce au numérique. 2. Analyser le potentiel de ressources pour les professeurs. Petit x 110, 85-102.
Gueudet, G., & Trouche, L. (2009). Towards new documentation systems for teachers? Educational Studies in Mathematics, 71(3), 199-218.
Joffredo-Lebrun, S., & Gueudet, G. (2021). Students’ autonomy and digital technologies: collective documentation work in pre-service teacher education. Long communication at the ICME14 conference, Shangaï.
Little, D. (1994). Learner autonomy: A theoretical construct and its practical application. Die Neueren Sprachen, 93(5), 430-442.
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.
Meerbaum-Salant, O., Armoni, M., & Ben-Ari, M. (2010). Learning computer science concepts with Scratch. In Proceedings of the Sixth International Workshop on Computing Education Research - ICER ’10, (pp. 69-76). New York, United States: Association for Computing Machinery.
Ministry of Education, (2018). Programme du cycle 4. Retrieved from https://cache.media.eduscol.education.fr/file/programmes_2018/20/4/Cycle_4_programme_consolide_1038204.pdf.
Misfeldt, M., Jankvist, U. T., Gerianou, E., & Bråting, K. (2020). Relations between mathematics and programming in school: Juxtaposing three different cases. In A. Donevska-Todorova, E. Faggiano, J. Trgalova, Z. Lavicza, R. Weinhandl, A. Clark-Wilson & H.-G. Weigand (Eds.), Proceedings of the MEDA2020 Conference (pp. 255-262). Austria: Linz University.
Modeste, S. (2015). Impact of informatics on mathematics and its teaching. On the importance of epistemological analysis to feed didactical research. In F. Gadducci & M. Tavosanis (Eds.), History and Philosophy of Computing, Series: IFIP Advances in Information and Communication Technology (Vol. 487, pp. 243-255). Cham, Switzerland: Springer.
Olabe, J. C., Basogain, X., Olabe, M. A., Maiz, I., & Castaño, C. (2011). Programming and robotics with scratch in primary education. In A. Méndez-Vilas (Ed.), Education in a technological world: Communicating current and emerging research and technological efforts (pp. 356- 363). Badajoz, Spain: Formatex Research Center.
Papert, S., & Harel, I. (1991). Situating constructionism. In I. Harel & S. Papert (Eds.), Constructionism (pp. 1-11). New York, NY: Ablex. Retrieved from http://www.papert.org/articles/Situating Constructionism.html
Piaget J. (1975). L’Équilibration des structures cognitives: Problème central du développement. Paris: Presses Universitaires de France.
Rabardel, P. (1995). Les hommes et les technologies: approche cognitive des instruments contemporains. Paris: Armand Colin.
Rabardel, P., & Bourmaud, G. (2003). From computer to instrument system: A developmental perspective. In P. Rabardel & Y. Waern (Eds.), Special Issue “From Computer Artifact to Mediated Activity”, Part 1: Organisational Issues, Interacting With Computers 15(5), 665-691.
Vergnaud, G. (1998). Toward a cognitive theory of practice. In A. Sierpinska & J. Kilpatrick (Eds.), Mathematics education as a research domain: A search for identity (pp. 227-241). Dordrecht: Kluwer Academic Publisher.
Vygotsky, L. (1978). Mind in society. Cambridge: Harvard University Press.
Weintrop, D., & Wilensky, U. (2015). The challenges of studying Blocks-based Programming Environments. In 2015 IEEE Blocks and Beyond Workshop (Blocks and Beyond), 5 7. Retrieved from https://ccl.northwestern.edu/2015/p005-weintrop-2.pdf.
Wood, M. B. (2016). Rituals and right answers: Barriers and supports to autonomous activity. Educational Studies in Mathematics, 91(3), 327 348.
Yackel, E., & Cobb, P. (1996). Sociomathematical norms, argumentation, and autonomy in mathematics. Journal for Research in Mathematics Education, 27(4), 58-477.
Zimmerman, B. J. (1989). A social cognitive view of self-regulated academic learning. Journal of Educational Psychology, 81(3), 329-339.
DOI: https://doi.org/10.26220/rev.3575
View Counter: Abstract | 583 | times, and PDF | 333 | times
Re S M ICT E | ISSN: 1792-3999 (electronic), 1791-261X (print) | Laboratory of Didactics of Sciences, Mathematics and ICT, Department of Educational Sciences and Early Childhood Education - University of Patras.
Pasithee | Library & Information Center | University of Patras