Main Article Content

Abstract

In this paper we present a social analysis of the interactions among the students involved in a trial of the PRIN project “Digital Interactive Storytelling in Mathematics: a Competence-based Social Approach”. The instructional design is based on collaborative scripts within a digital storytelling framework where the story follows the interactions among the characters played by the students and an expert (teacher or researcher). We report the results of a trial that involved teachers and students from the upper secondary school analysing from a Social Network Analysis point of view the interventions of the expert, the involvement / participation of the students and the interactions among peers and with the expert. We also briefly discuss the potential and limitations of the currently available tools to perform this kind of analysis, in view of the much broader perspective offered by the Learning Analytics approach.

Keywords

Digital Storytelling Mathematics Education Social Network Analysis Collaboration script Moodle

Article Details

How to Cite
Polo, M., Dello Iacono, U., Fiorentino, G., & Pierri, A. (2019). A Social Network Analysis approach to a Digital Interactive Storytelling in Mathematics. Journal of E-Learning and Knowledge Society, 15(3), 239-250. https://doi.org/10.20368/1971-8829/1135035

References

  1. Azevedo, R., Cromley, J.G. Winters, F.I., Moos, D.C., Greene, J.A. (2005). Adaptive human scaffolding facilitates adolescents' self-regulated learning with hypermedia. Instructional science, 33(5-6), 2005, pp. 381-412.
  2. Baker, M. (2003). Computer-mediated argumentative interactions for the co-elaboration of scientific notions. In J. Andriessen, M. Baker, & D. Suthers (Eds.), Arguing to learn: confronting cognitions in computer-supported collaborative learning environments (Vol. 1, pp. 1-25). Dordrecht: Kluwer.
  3. Demetriadis, S., & Karakostas, A. (2008, March). Adaptive collaboration scripting: A conceptual framework and a design case study. In 2008 International Conference on Complex, Intelligent and Software Intensive Systems (pp. 487-492). IEEE.
  4. Ferrari, P.L. (2004). Mathematical language and advanced mathematics learning.In Johnsen Hoines, M. & Berit Fugelstad, A. (Eds.), Proceedings of the 28th Conference of PME (pp. 383–390). Bergen, Norway.
  5. King, A. (2007). Scripting collaborative learning processes: A cognitive perspective. In: F. Fischer, I. Kollar, H. Mandl, & J. Haake (eds.), Scripting computer-supported collaborative learning: Cognitive, computational and educational perspectives (pp. 13-37). New York: Springer.
  6. Kobbe, L., Weinberger, A., Dillenbourg, P., Harrer, A., Hamalainen, R., Hakkinen, P., et al. (2007). Specifying computer-supported collaboration scripts. International Journal of Computer-Supported Collaborative Learning, 2(2), 211–224.
  7. Mellone M., & Tortora R. (2015). Ambiguity as a cognitive and didactic resource. In Krainer K., Vondrová N. (Eds.), Proc. of CERME 9, Praga, pp. 1434-1439.
  8. Minerba, L., Chessa, A., Coppola, R. C., Mula, G., & Cappellini, G. (2008). A complex network analysis of a health organization. Igiene e sanità pubblica, 64(1), 9-25.
  9. Schank, R., Roger, C., Abelson, R.P. (1977). Scripts, plans, goals and understandings. Hillsdale, NJ: Erlbaum.Vygotsky, L. S. (1980). Mind in society: The development of higher psychological processes. Harvard university press.
  10. Sensevy, G. (2012). About the Joint Action Theory in Didactics. Z Erzieh 15(3), pp. 503–516.
  11. Weinberger, A., Kollar, I., Dimitriadis, Y., Makitalo-Siegi, K., Fischer, F. (2009). Computer-supported collaboration scripts. Technology enhanced learning, Springer Netherlands, pp. 155–173.
  12. Zan, R. (2012). La dimensione narrativa di un problema: il modello C&D per l'analisi e la (ri)formulazione del testo. Parte I. L’insegnamento della matematica e delle scienze integrate. Vol.35 A N.2, 4, 2012.
  13. XXX (2016)
  14. XXX (2018a)
  15. XXX (2018b)
  16. XXX (2019a)
  17. XXX (2019b)