In the Italian Bebras Challenge on Informatics and Computational Thinkings, an interactive online platform is used to display attractive tasks to teams of pupils, and evaluate the answers they submit. We instrumented the platform in order to collect also data concerning the interactions of pupils with the system. We analyzed this data according to a multidimensional model use to describe such interaction, and collected many overall statistics on the problem solving process and teams’ behavior. The fine grained data we logged was also useful to analyze how the teams engaged with specific tasks, which we designed as easy and turned out to be difficult. By looking at the data, we were able to explain the unexpected difficulties, nailing down what had distracted or confused many solvers.

Behind the Shoulders of Bebras Teams: Analyzing How They Interact with the Platform to Solve Tasks / C. Bellettini, V. Lonati, M. Monga, A. Morpurgo (COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE). - In: Computer Supported Education / [a cura di] H.C. Lane, S. Zvacek, J. Uhomoibhi. - [s.l] : Springer, 2020 Nov. - ISBN 9783030584580. - pp. 191-210 (( Intervento presentato al 11. convegno CSEDU tenutosi a Heraklion nel 2019 [10.1007/978-3-030-58459-7_10].

Behind the Shoulders of Bebras Teams: Analyzing How They Interact with the Platform to Solve Tasks

C. Bellettini;V. Lonati;M. Monga
;
A. Morpurgo
2020

Abstract

In the Italian Bebras Challenge on Informatics and Computational Thinkings, an interactive online platform is used to display attractive tasks to teams of pupils, and evaluate the answers they submit. We instrumented the platform in order to collect also data concerning the interactions of pupils with the system. We analyzed this data according to a multidimensional model use to describe such interaction, and collected many overall statistics on the problem solving process and teams’ behavior. The fine grained data we logged was also useful to analyze how the teams engaged with specific tasks, which we designed as easy and turned out to be difficult. By looking at the data, we were able to explain the unexpected difficulties, nailing down what had distracted or confused many solvers.
Computing education; Computational thinking; Informatics contests; Learning analytics; Problem-solving process
Settore INF/01 - Informatica
nov-2020
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/785965
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