*** Assessment of Algorithmic Abstraction Skills in Higher Education: An Application of the PGK Framework *** 
Authors: X.Zhang, E. Aivaloglou, M. Liut, M. Specht
Software Technology Group, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Software Technology, 

Delft University of Technology

Corresponding author: X.Zhang

Contact Information: x.zhang-14@tudelft.nl

Delft University of Technology - Faculty of Electrical Engineering, Mathematics and Computer Science
P.O. Box 5058 
2600 GB Delft 
The Netherlands

***General Introduction***
This dataset contains data collected during experiments at Delft University of Technology, as part of Xiaoling's PhD Thesis project (Oct 2024): 
doi: paper is still under review
It is being made public both to act as supplementary data for publications and the PhD thesis of Xiaoling Zhang and in order for other researchers to use this data in their own work.

The data in this data set was collected in the laboratory room at center for education and learning of Delft University of Technology - Faculty of Electrical Engineering, Mathematics and Computer Science, between January 2024 and April 2024.
This research project was made possible by an internal grant from the Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology 

***Purpose of the research***
The purpose of these experiments was to investigate students' level of algorithmic abstraction skills, as detailed in "data_240619V1.xlsx".

***Test equipment***
All experiments were performed on a survey platform named Qualtrics. 

***Description of the data in this data set***
The data included in this data set has been organised in the "data_240619V1.xlsx" file, which includes two tabs: 2024_0201_AlgorthmicAbstraction and Code_Book. The tab named Code_Book contains description and explanations of the meaning of the variables in the 2024_0201_AlgorthmicAbstraction tab.