{"title":"A Comparison of the Programming-Oriented Computational Thinking Skills of Engineering and Nonengineering Students at Turkish Universities","authors":"Nihal Menzi Çetin","doi":"10.1002/cae.70069","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This study examines the programming-oriented computational thinking (PoCT) skills of engineering and nonengineering faculty students, comparing them in terms of grade level and the three subdimensions of PoCT: Conceptual knowledge, algorithmic thinking, and evaluation. Additionally, the study investigates the extent to which students' PoCT skill levels can be predicted by programming language self-efficacy and design thinking skill through hierarchical regression analysis. The data of 571 computer science students from two types of faculties in Turkish universities were analysed. The findings revealed that engineering students had superior computational thinking skills to their nonengineering counterparts, as well as a slightly higher predictive power of programming self-efficacy and design thinking on computational thinking. These results offer valuable insights and strategies for developing instructional practices that address the disadvantages faced by nonengineering disciplines.</p>\n </div>","PeriodicalId":50643,"journal":{"name":"Computer Applications in Engineering Education","volume":"33 5","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Applications in Engineering Education","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cae.70069","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This study examines the programming-oriented computational thinking (PoCT) skills of engineering and nonengineering faculty students, comparing them in terms of grade level and the three subdimensions of PoCT: Conceptual knowledge, algorithmic thinking, and evaluation. Additionally, the study investigates the extent to which students' PoCT skill levels can be predicted by programming language self-efficacy and design thinking skill through hierarchical regression analysis. The data of 571 computer science students from two types of faculties in Turkish universities were analysed. The findings revealed that engineering students had superior computational thinking skills to their nonengineering counterparts, as well as a slightly higher predictive power of programming self-efficacy and design thinking on computational thinking. These results offer valuable insights and strategies for developing instructional practices that address the disadvantages faced by nonengineering disciplines.
期刊介绍:
Computer Applications in Engineering Education provides a forum for publishing peer-reviewed timely information on the innovative uses of computers, Internet, and software tools in engineering education. Besides new courses and software tools, the CAE journal covers areas that support the integration of technology-based modules in the engineering curriculum and promotes discussion of the assessment and dissemination issues associated with these new implementation methods.