A Systematic Umbrella Review on Computational Thinking Assessment in Higher Education

Review (2024)
Author(s)

Xiaoling Zhang (TU Delft - Web Information Systems)

E.A. Aivaloglou (TU Delft - Web Information Systems)

M.M. Specht (TU Delft - Web Information Systems)

Research Group
Web Information Systems
Copyright
© 2024 X. Zhang, E.A. Aivaloglou, M.M. Specht
DOI related publication
https://doi.org/10.20897/ejsteme/14175
More Info
expand_more
Publication Year
2024
Language
English
Copyright
© 2024 X. Zhang, E.A. Aivaloglou, M.M. Specht
Related content
Research Group
Web Information Systems
Issue number
1
Volume number
9
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Computational Thinking (CT) is considered a core 21st century digital skill. The aspect of assessment is crucial and knowing what, who, when, how, and where to assess is important for assessment design. In this study, we conducted an umbrella review to gain insights regarding CT assessment in higher education. In total, we analyzed 11 reviews, focusing on: (1) bibliographical and methodological characteristics of the reviews; (2) aspects relevant of assessment design, including a) assessed constructs, b) applied assessment methodologies, and c) assessment contexts. Our findings suggest an increased attention on this topic. However, hardly any reviews reasoned the selection of their review methodology, and most of the reviews did not thoroughly examine existing reviews. Regarding assessment design aspects, most reviews did not confine their scope to higher education; however, findings on interventions and educational settings show commonalities. We identified 120 unique assessed constructs and around 10 types of assessment methods. Though a combined use of distinct assessment methods is suggested in reviews, guidelines for appropriate assessment design are yet to be constructed. Based on the findings, we argue that it is necessary to explore different combinations of assessment design in various contexts to construct assessment guidelines.

Files

License info not available