The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/08fde53e-b675-47d7-8b96-786388937479

Zhang, Xiaoling; Aivaloglou, Efthimia; Liut, Michael; Specht, Marcus (2024): Dataset for the paper: 'Assessment of Algorithmic Abstraction Skills in Higher Education: An Application of the PGK Framework. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/08fde53e-b675-47d7-8b96-786388937479.v1

Dataset

• Other Engineering
• Other Information and Computing Sciences
• Other Education
• Engineering
• Information and Computing Sciences
• Education

Algorithmic Thinking, Assessment, Computational Thinking, Engineering Education, PGK hierarchy

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Xiaoling Zhang , Efthimia Aivaloglou , Michael Liut , Marcus Specht

Dataset for the paper: 'Assessment of Algorithmic Abstraction Skills in Higher Education: An Application of the PGK Framework. It contains the collection of participants answers. This experimental research explored the level of algorithmic abstraction skills of students in higher education by using the assessment materials implemented in a survey platform. The data collected includes: demographic data, students' performance on algorithmic abstraction tasks (including open-text questions, and analysing tasks, etc.), and students' perceptions of needed levels of algorithmic abstraction skills. These data are collected in the form of numerical, categorical or open-text answers form, which went through qualitative analysis (thematic analysis) and quantitative analysis (statistical analysis).

• 2024-11-08 first online, published, posted

4TU.ResearchData

.xlsx

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Software Technology