Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Computational Thinking Measurement of CS University Students

Version 1 : Received: 17 May 2024 / Approved: 17 May 2024 / Online: 20 May 2024 (10:11:12 CEST)

How to cite: Hijón-Neira, R.; Pizarro, C.; French, J.; Palacios-Alonso, D.; Çoban, E. Computational Thinking Measurement of CS University Students. Preprints 2024, 2024051203. https://doi.org/10.20944/preprints202405.1203.v1 Hijón-Neira, R.; Pizarro, C.; French, J.; Palacios-Alonso, D.; Çoban, E. Computational Thinking Measurement of CS University Students. Preprints 2024, 2024051203. https://doi.org/10.20944/preprints202405.1203.v1

Abstract

In the rapidly evolving landscape of the AI era, the measurement of Computational Thinking ability among Computer Science (CS) University students is of paramount importance. This study introduces UniCTCheck, a novel method designed to assess the main components of Computational Thinking in CS students. Utilizing two key instruments, namely the web application CTScore and the psychometric scale CTProg, this research aims to precisely evaluate seven core components of Computational Thinking and six programming concepts skills essential for CS students. The study, conducted at Rey Juan Carlos University and Atlantic Technological University Galway, involved a diverse sample of students from different year levels and program specializations. Through a rigorous research design, including sampling strategies and data collection tools, this study seeks to address critical research questions related to measurement of variations in students' Computational Thinking and programming skills by gender, university level, and location. By shedding light on the significance of Computational Thinking and programming in the educational realm, this research contributes to the existing literature and underscores the essential role of computational skills in the modern era.

Keywords

Computational Thinking; Programming; Performance-based assessment platform; Interactive web app; Evaluation methods; Psychometric scale; Students evaluation

Subject

Computer Science and Mathematics, Computer Science

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