Computational Thinking Measurement of CS University Students

被引:0
作者
Hijon-Neira, Raquel [1 ]
Pizarro, Celeste [2 ]
French, John [3 ]
Palacios-Alonso, Daniel [1 ]
Coban, Emre [4 ]
机构
[1] Rey Juan Carlos Univ, Comp Sci Dept, Mostoles 28933, Spain
[2] Rey Juan Carlos Univ, Appl Math Dept, Mostoles 28933, Spain
[3] Atlantic Technol Univ, Comp Sci & Appl Phys Dept, Galway H91T8NW, Ireland
[4] Ardahan Univ, Comp Technol Dept, TR-75000 Ardahan, Turkiye
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 12期
关键词
computational thinking; programming; performance-based assessment platform; interactive web app; evaluation methods; psychometric scale; student evaluation;
D O I
10.3390/app14125261
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Featured Application Altogether, UniCTCheck, a method for measuring the main components of computational thinking of CS university students, was employed by using the following two instruments: firstly, a web application, CTScore, to precisely measure seven of the main components of computational thinking (pattern recognition, creative thinking, algorithmic thinking, problem solving, critical thinking, decomposition, and abstraction); secondly, a psychometric scale, CTProg, to measure CT programming concepts skills (basic directions and sequences, conditionals, loops, functions, and data structures).Abstract 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. Utilising 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 programme specialisations. Through a rigorous research design, including sampling strategies and data collection tools, this study seeks to address critical research questions related to the 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.
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页数:22
相关论文
共 61 条
  • [1] Abelson, 2019, COMPUTATIONAL THINKI, DOI [DOI 10.1007/978-981-13-6528-76, https://doi.org/10.1007/978-981-13-6528-7_6, DOI 10.1007/978-981-13-6528-7_6]
  • [2] Computation and Computational Thinking
    Aho, Alfred V.
    [J]. COMPUTER JOURNAL, 2012, 55 (07) : 832 - 835
  • [3] Akkaya A., 2018, Masters Thesis
  • [4] Alan U, Masters Thesis
  • [5] A Call for Computational Thinking in Undergraduate Psychology
    Anderson, Nicole D.
    [J]. PSYCHOLOGY LEARNING AND TEACHING-PLAT, 2016, 15 (03): : 226 - 234
  • [6] Andrew C., 2015, Computational ThinkingA Guide for Teachers
  • [7] [Anonymous], 2011, Operational definition of computational thinking for K-12 education
  • [8] [Anonymous], 2010, Report of a workshop on the scope and nature of computational thinking
  • [9] Arkan R., 2018, Hali niversitesi Sos. Bilim. Derg, V1, P97
  • [10] Barr Valerie, 2011, ACM Inroads, V2, P48, DOI 10.1145/1929887.1929905