Abstract
Every year the Bebras challenge proposes small tasks to students, based on CS concepts. In Italy, in 2021 for the first time, it was possible to choose whether to participate in the challenge individually or in teams of two students. The team size was expected to affect the performance of students; in particular working in pairs was expected to increase the probability of solving the tasks correctly. We carried out an observational study on the results of the 2021 Bebras challenge in Italy, aiming at investigating and measuring the effects of team size on the performance. The findings confirm that working in pairs generally improves the team performance, but the impact is much smaller than expected. We observed that the positive effect of collaboration is greater with younger pupils and somewhat decreases when age increases. We identified and discussed the features of tasks where the impact was more relevant, and where this trend was more evident. We also propose some hypotheses, to analyze in future qualitative studies, to interpret the results.
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Notes
- 1.
See for example https://www.ed.gov/stem.
- 2.
See http://bebras.org.
- 3.
See https://mc-stan.org/.
- 4.
One can estimate also the variance of p in order to have a measure of the variability, but an estimation of the error with respect to the “true value” needs inevitably some assumption on the underlying distribution.
- 5.
We used the data provided by INVALSI for the school year 2021, taken from https://invalsi-serviziostatistico.cineca.it/; see also [11] for a previous study.
- 6.
References
Dagienė, V.: Sustaining informatics education by contests. In: Hromkovič, J., Královič, R., Vahrenhold, J. (eds.) ISSEP 2010. LNCS, vol. 5941, pp. 1–12. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-11376-5_1
Galton, M., Williamson, J.: Groupwork in the Primary Classroom. Routledge, London (2003)
Haberman, B., Cohen, A., Dagienė, V.: The beaver contest: attracting youngsters to study computing. In: Proceedings of ITiCSE 2011, pp. 378–378. ACM, Darmstadt (2011)
Laal, M., Ghodsi, S.M.: Benefits of collaborative learning. Procedia-Soc. Behav. Sci. 31, 486–490 (2012)
McElreath, R.: Statistical Rethinking: A Bayesian Course with Examples in R and Stan. Chapman and Hall/CRC, New York (2020)
Messer, D.J., Joiner, R., Loveridge, N., Light, P., Littleton, K.: Influences on the effectiveness of peer interaction: children’s level of cognitive development and the relative ability of partners. Soc. Dev. 2(3), 279–294 (1993)
Nokes-Malach, T.J., Richey, J.E., Gadgil, S.: When is it better to learn together? Insights from research on collaborative learning. Educ. Psychol. Rev. 27(4), 645–656 (2015). https://doi.org/10.1007/s10648-015-9312-8
OECD: PISA 2015 Results (Volume V) (2017)
Williams, L.: Integrating pair programming into a software development process. In: Proceedings of the 14th Conference on Software Engineering Education and Training, pp. 27–36 (2001). https://doi.org/10.1109/CSEE.2001.913816
Wood, D., O’Malley, C.: Collaborative learning between peers. Educ. Psychol. Pract. 11(4), 4–9 (1996). https://doi.org/10.1080/0266736960110402
Bellettini, C., Lonati, V., Monga, M., Morpurgo, A.: An analysis of the performance of Italian schools in Bebras and in the national student assessment INVALSI. In: Fronza, I., Pahl, C. (ed.) Proceedings of the 2nd Systems of Assessments for Computational Thinking Learning Workshop (TACKLE 2019). CEUR Workshop Proceedings, vol. 2434 (2019)
Bellettini, C., Lonati, V., Monga, M., Morpurgo, A.: Behind the shoulders of bebras teams: analyzing how they interact with the platform to solve tasks. In: Lane, H.C., Zvacek, S., Uhomoibhi, J. (eds.) CSEDU 2019. CCIS, vol. 1220, pp. 191–210. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58459-7_10
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Bellettini, C., Lonati, V., Monga, M., Morpurgo, A. (2022). How is Two Better Than One? An Observational Study on the Impact of Working in Pairs When Solving Bebras Tasks. In: Bollin, A., Futschek, G. (eds) Informatics in Schools. A Step Beyond Digital Education. ISSEP 2022. Lecture Notes in Computer Science, vol 13488. Springer, Cham. https://doi.org/10.1007/978-3-031-15851-3_5
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