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research article

The CT-cube: A framework for the design and the assessment of computational thinking activities

Piatti, Alberto
•
Adorni, Giorgia
•
El-Hamamsy, Laila  
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January 6, 2022
Computers in Human Behavior Reports

Computational thinking is a fundamental competence that is being introduced in K-12 and succeeding curricula worldwide. Despite this huge effort, many computational thinking models in the literature do not explicitly take into consideration the pupils’ age and the developmental nature of computational thinking skills. Furthermore, many existing computational thinking models are focused on the internal thinking processes of the individuals, failing to explicitly consider the situated nature, in terms of social context and artefactual environment, that usually characterise tasks that require computational thinking to be solved. In this paper, we present a framework for the design, realisation, analysis, and assessment of computational thinking activities, called CT-cube. The CT-cube allows to extend existing computational thinking models to consider the life-long development of computational thinking skills in individuals, from childhood to adult age, and to take into consideration the situated nature of computational thinking activities. We use the CT-cube to design an unplugged task, called Cross Array Task (CAT), allowing to assess the algorithmic skills of K-12 pupils and we show how the CT-cube can be used in this case to illustrate the development of this competence along the entire compulsory school path, considering a sample of 109 pupil aged 3 to 16 in Switzerland.

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Type
research article
DOI
10.1016/j.chbr.2021.100166
Author(s)
Piatti, Alberto
Adorni, Giorgia
El-Hamamsy, Laila  
Negrini, Lucio
Assaf, Dorit
Gambardella, Luca
Mondada, Francesco  
Date Issued

2022-01-06

Published in
Computers in Human Behavior Reports
Article Number

100166

Subjects

Computational thinking

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Algorithmic skills development

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Assessment

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K-12

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Situated cognition

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SCI-STI-FMO1  
SCI-IC-FMO2  
AVP-E-LEARN  
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Available on Infoscience
January 10, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/184376
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