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Published in: Technology, Knowledge and Learning 2/2023

27-01-2022 | Original research

Computational Thinking Assessment – Towards More Vivid Interpretations

Authors: Josef Guggemos, Sabine Seufert, Marcos Román-González

Published in: Technology, Knowledge and Learning | Issue 2/2023

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Abstract

Computational thinking (CT) is an important 21st-century skill. This paper aims at more useful CT assessment. Available evaluation instruments are reviewed; two generally accepted CT evaluation tools are selected for a comprehensive CT assessment: the CTt, a performance test, and the CTS, a self-assessment instrument. The sample comprises 202 high school students from German-speaking Switzerland. Concerning the CTt, Rasch-scalability is demonstrated. Utilizing the approach of the PISA studies, proficiency levels are formed that comprise tasks with specific characteristics that students are systematically able to master. This could help teachers to offer individual support to their students. In terms of the CTS, the original version is refined using confirmatory factor and measurement-invariance analysis. A latent profile analysis yielded four profiles, two of which are of particular interest. One profile comprises students with, on the one hand, moderate to high creative thinking ability, cooperativity, and critical thinking skills and, on the other hand, low algorithmic thinking ability. The second remarkable profile consists of students with particularly low cooperativity. Based on these strength and weakness profiles, teachers could offer support tailored to student needs.

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Appendix
Available only for authorised users
Footnotes
1
The German version of the CTt and CTS are available from the authors upon request.
 
2
The Rasch model predicts as the probability for a correct answer: exp(proficiency–difficulty) / (1 + exp(proficiency–difficulty)). For instance, a person with a proficiency of 1.5 Logit is expected to solve an item with a difficulty of 1.0 Logit with a probability of 62.2%.
 
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Metadata
Title
Computational Thinking Assessment – Towards More Vivid Interpretations
Authors
Josef Guggemos
Sabine Seufert
Marcos Román-González
Publication date
27-01-2022
Publisher
Springer Netherlands
Published in
Technology, Knowledge and Learning / Issue 2/2023
Print ISSN: 2211-1662
Electronic ISSN: 2211-1670
DOI
https://doi.org/10.1007/s10758-021-09587-2

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