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Download full textMahatanankoon, Pruthikrai; Wolf, James – Information Systems Education Journal, 2021
Learning a computer programming language is typically one of the basic requirements of being an information technology (IT) major. While other studies previously investigate computer programming self-efficacy and grit, their relationships between "shallow" and "deep" learning (Miller et al., 1996) have not been thoroughly…
Descriptors: Cognitive Processes, Learning Strategies, Introductory Courses, Computer Science Education
Direct linkTsai, Meng-Jung; Wang, Ching-Yeh; Hsu, Po-Fen – Journal of Educational Computing Research, 2019
Computer programming has been gradually emphasized in recent computer literacy education and regarded as a requirement for all middle school students in some countries. To understand young students' perceptions about their own learning in computer programming, this study aimed to develop an instrument, Computer Programming Self-Efficacy Scale…
Descriptors: Programming, Computer Literacy, Middle School Students, Student Attitudes
Kukul, Volkan; Karatas, Serçin – Informatics in Education, 2019
The aim of this study is to develop a self-efficacy measuring tool that can predict the computational thinking skill that is seen as one of the 21st century's skills. According to literature review, an item pool was established and expert opinion was consulted for the created item pool. The study group of this study consists of 319 students…
Descriptors: Computation, Thinking Skills, Self Efficacy, Programming
Kunkle, Wanda M.; Allen, Robert B. – ACM Transactions on Computing Education, 2016
Learning to program, especially in the object-oriented paradigm, is a difficult undertaking for many students. As a result, computing educators have tried a variety of instructional methods to assist beginning programmers. These include developing approaches geared specifically toward novices and experimenting with different introductory…
Descriptors: Teaching Methods, Programming, Programming Languages, Computer Science Education
Bringula, Rex P.; Manabat, Geecee Maybelline A.; Tolentino, Miguel Angelo A.; Torres, Edmon L. – World Journal of Education, 2012
This descriptive study determined which of the sources of errors would predict the errors committed by novice Java programmers. Descriptive statistics revealed that the respondents perceived that they committed the identified eighteen errors infrequently. Thought error was perceived to be the main source of error during the laboratory programming…
Descriptors: Error Patterns, Programming, Programming Languages, Predictor Variables
Doukakis, Spyros; Giannakos, Michail N.; Koilias, Christos; Vlamos, Panayiotis – Informatics in Education, 2013
This paper presents results of a questionnaire focused on investigating students' confidence and behavioral intention in the area of programming, particularly that of structures, problem solving, and programming commands (Conditional--Loop). Responses from 116 1st year students regarding informatics were used. The results indicate that the…
Descriptors: Foreign Countries, Programming, Computer Science Education, Problem Solving
Kunkle, Wanda M. – ProQuest LLC, 2010
Many students experience difficulties learning to program. They find learning to program in the object-oriented paradigm particularly challenging. As a result, computing educators have tried a variety of instructional methods to assist beginning programmers. These include developing approaches geared specifically toward novices and experimenting…
Descriptors: Computer Science Education, Programming Languages, Language of Instruction, Academic Achievement
