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Recognizing Algorithmic Concepts in New Contexts: An Analysis of Students’ Reasoning
Volume 21, Issue 3 (2022), pp. 541–568
Jacqueline NIJENHUIS-VOOGT   Durdane BAYRAM-JACOBS   Paulien C. MEIJER   Erik BARENDSEN  

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https://doi.org/10.15388/infedu.2022.16
Pub. online: 19 September 2022      Type: Article      Open accessOpen Access

Published
19 September 2022

Abstract

Teaching algorithmic thinking enables students to use their knowledge in various contexts to reuse existing solutions to algorithmic problems. The aim of this study is to examine how students recognize which algorithmic concepts can be used in a new situation. We developed a card sorting task and investigated the ways in which secondary school students arranged algorithmic problems (Bebras tasks) into groups using algorithm as a criterion. Furthermore, we examined the students’ explanations for their groupings. The results of this qualitative study indicate that students may recognize underlying algorithmic concepts directly or by identifying similarities with a previously solved problem; however, the direct recognition was more successful. Our findings also include the factors that play a role in students’ recognition of algorithmic concepts, such as the degree of similarity to problems discussed during lessons. Our study highlights the significance of teaching students how to recognize the structure of algorithmic problems.

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Open access article under the CC BY license.

Keywords
computer science education algorithms secondary education card sorting

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