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Chenyue Wang; Chang Lu; Fu Chen; Xueliang Liu; Qin Zhao; Shuai Wang – Education and Information Technologies, 2024
Computational thinking (CT) competency is essential for K-12 students in the digital societies. Understanding the relationship between students' CT and relevant factors contributes to implementing and improving CT education. Most previous studies investigated the effect of demographic or attitudinal factors on CT performance; whereas few research…
Descriptors: Self Efficacy, Thinking Skills, Problem Solving, Computation
Lin, Guan-Yu; Liao, Yi-Wen; Su, Zhi-Yuan; Wang, Yu-Min; Wang, Yi-Shun – Education and Information Technologies, 2023
This study attempts to: (a) investigate whether positive and negative emotions mediate the pathways linking self-efficacy for learning programming with effort and persistence in undergraduates' learning Scratch programming combining with a programmable hardware platform (i.e., Arduino), and (b) assess the effect of academic major (i.e.,…
Descriptors: Undergraduate Students, Academic Persistence, Programming, Self Efficacy
Yildiz Durak, Hatice; Saritepeci, Mustafa; Durak, Aykut – Technology, Knowledge and Learning, 2023
Computational thinking skill is one of the basic skills required for every individual, such as reading and writing. For the development of CT, programming education is seen as the key. In the context of programming and CT relationship, it is very important to model individual characteristics and various affective variables with a holistic approach…
Descriptors: Computation, Thinking Skills, Programming, Individual Characteristics
Liu, Jun; Li, Qingyue; Sun, Xue; Zhu, Ziqi; Xu, Yanhua – Asia Pacific Journal of Education, 2023
Programming self-efficacy plays an important role in promoting interest in programming education among teenagers. Therefore, the purpose of this study was to examine to what extent family socioeconomic status, programming learning, programming teaching, and gender influence programming self-efficacy. A total of 851 upper-secondary-school students…
Descriptors: Programming, Computer Science Education, Self Efficacy, Foreign Countries
Jun Rao – ProQuest LLC, 2021
In recent years, not only has there been a dramatic drop in the number of students enrolling in computer science courses, and attrition from computer science courses continues to be significant. Traditionally, computer programming courses have high failure rates, and as they tend to be core to computer science courses can be a roadblock for many…
Descriptors: Self Efficacy, Student Evaluation, Grading, Computer Science Education
Silvia Wen-Yu Lee; Jyh-Chong Liang; Chung-Yuan Hsu; Meng-Jung Tsai – Interactive Learning Environments, 2024
While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…
Descriptors: Student Attitudes, Beliefs, Computer Science Education, Programming
Avcu, Yunus Emre; Ayverdi, Leyla – International Journal of Educational Methodology, 2020
The study's goal was to examine the correlation between the computer programming self-efficacy and computational thinking skills of gifted and talented students. The capacity of the computer programming self-efficacy of gifted and talented students to predict their computational thinking skills were also examined. The relational screening model…
Descriptors: Programming, Self Efficacy, Thinking Skills, Correlation
Kittur, Javeed – IEEE Transactions on Education, 2020
Contribution: This article has shown that self-efficacy in performing complex computer programming tasks and the self-regulation of electrical and electronics engineering undergraduate students varies with respect to the class standing and prior experience in computer programming. Background: Computer programming is an essential skill that all…
Descriptors: Measures (Individuals), Programming, Self Efficacy, Engineering Education
Akcaoglu, Mete; Rosenberg, Joshua M.; Hodges, Charles B.; Hilpert, Jonathan C. – Computers in the Schools, 2021
Computer programming is becoming an essential skill for young students regardless of their education or career goals. Therefore, for students to develop and for educators and researchers to accurately measure self-efficacy in and value for programming is important. Although student motivation in subject matter can be measured using self-report…
Descriptors: Middle School Students, Student Attitudes, Value Judgment, Self Efficacy
Computational Thinking Skills, Programming Self-Efficacies and Programming Attitudes of the Students
Günbatar, Mustafa Serkan – International Journal of Computer Science Education in Schools, 2020
The purpose of this research is to examine Computational Thinking (CT) skills, Computer Programming Self-Efficacy (CPSE), and Computer Programming Attitude (CPA) of middle school students who took the Information Technologies & Software (IT&S) courses and those who did not, and make various analyses according to the relationships between…
Descriptors: Thinking Skills, Self Efficacy, Programming, Computer Science Education
Quille, Keith; Bergin, Susan – Computer Science Education, 2019
Background and Context: Computer Science attrition rates (in the western world) are very concerning, with a large number of students failing to progress each year. It is well acknowledged that a significant factor of this attrition, is the students' difficulty to master the introductory programming module, often referred to as CS1. Objective: The…
Descriptors: Computer Science Education, Introductory Courses, Programming, Student Attrition
Weston, Timothy J.; Dubow, Wendy M.; Kaminsky, Alexis – ACM Transactions on Computing Education, 2020
While demand for computer science and information technology skills grows, the proportion of women entering computer science (CS) fields has declined. One critical juncture is the transition from high school to college. In our study, we examined factors predicting college persistence in computer science- and technology-related majors from data…
Descriptors: Females, Academic Persistence, High School Students, Computer Science Education
Kong, Siu-Cheung; Wang, Yi-Qing – Computer Science Education, 2019
Background and Context: Positive youth programming development (PYPD) was conceptualized to measure various positive qualities of students in programming education. Objective: This study aimed to develop a valid PYPD instrument in the pilot before exploring students' positive qualities in two follow-up studies. Method: A multi-study design was…
Descriptors: Computer Science Education, Programming, College Students, Test Validity
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
Rachmatullah, Arif – ProQuest LLC, 2021
This dissertation conducted a science classroom intervention using two instructional approaches, computational modeling and paper-based pictorial modeling, in the context of food webs. A series of research papers were written on the impact of the intervention on students' attitudes and learning, and on teachers via professional development and…
Descriptors: Teaching Methods, Science Instruction, Food, Intervention
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