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Showing 1 to 15 of 36 results Save | Export
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Muhammed Murat Gümüs; Volkan Kukul; Özgen Korkmaz – Informatics in Education, 2024
This study aims to explain the relationships between secondary school students' digital literacy, computer programming self-efficacy and computational thinking self-efficacy. The study group consists of 204 secondary school students. A relational survey model was used in the research method and three different data collection tools were used to…
Descriptors: Correlation, Middle School Students, Thinking Skills, Digital Literacy
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Jinbo Tan; Lei Wu; Shanshan Ma – British Journal of Educational Technology, 2024
The purpose of this study was to investigate the collaborative dialogue patterns of pair programming and their impact on programming self-efficacy and coding performance for both slow- and fast-paced students. Forty-six postgraduate students participated in the study. The students were asked to solve programming problems in pairs; those pairs'…
Descriptors: Coding, Programming, Computer Science Education, Self Efficacy
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Miitta Järvinen; Katriina Sipiläinen; Janne Roslöf; Sami Lehesvuori; Lauri Kettunen; Raija Hämäläinen – European Journal of Engineering Education, 2025
This study explored the learning experiences of first-year information technology students at the beginning of their studies. Identifying the early experiences is important, as we know they can predict later challenges and persistence in studies. We focus on a novel understanding of relations between learning approaches, self-efficacy and burnout…
Descriptors: Information Technology, College Freshmen, Computer Science Education, Self Efficacy
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Jiachu Ye; Xiaoyan Lai; Gary Ka Wai Wong; Nantian He – Educational Technology & Society, 2024
Computational thinking (CT) has attracted global research attention. However, the relationship between CT education and later aspirations in computing careers was less explored, and less attention was paid to understanding the intermediary role of computational identity. Based on social cognitive career theory, this study examined the…
Descriptors: Programming, Self Concept, Computer Science Education, Student Attitudes
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Richard E. Ferdig; Ilker Soytürk; Emily Baumgartner; Enrico Gandolfi – Journal of Technology and Teacher Education, 2024
Improving computer science (CS) education in PK-12 continues to be a priority for educators, researchers, and policymakers worldwide. One of the leading problems and mitigating factors of student CS success, however, is the lack of teachers prepared and qualified to teach computer science. Efforts have been made to address this issue through…
Descriptors: Computer Science Education, Self Efficacy, Beliefs, Teacher Attitudes
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Lee, Myunghwa; Lee, Jeongmin – Educational Technology Research and Development, 2021
The purpose of this study was to explore the teaching-learning process of informatics education in South Korea, where an informatics education initiative was recently announced for K-12 education. Based on this initiative, this study aimed to investigate the effect of academic self-efficacy, teacher support, and a deep approach to learning…
Descriptors: Computer Science Education, Secondary School Students, Academic Achievement, Self Efficacy
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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
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John Mark R. Asio – Malaysian Online Journal of Educational Sciences, 2024
Understanding and securely using AI systems and tools requires AI literacy. In contrast, AI self-efficacy is a person's confidence in completing an AI task. Also, AI self-competence is the ability to explain how AI technologies are used at work and how they affect society. This study examines college students' AI literacy, self-efficacy, and…
Descriptors: Artificial Intelligence, Computer Software, Technological Literacy, Self Esteem
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Sözeri, Mahmut Can; Kert, Serhat Bahadir – International Journal of Computer Science Education in Schools, 2021
In this study, the effects of interactive video usage in programming education on academic achievement and self-efficacy perception of programming were investigated by taking into account learning styles. The research was patterned according to the causal-comparative model, and also, correlation analysis was performed for related research.…
Descriptors: Correlation, Interactive Video, Programming, Academic Achievement
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Tsai, Meng-Jung; Wang, Ching-Yeh – Journal of Educational Computing Research, 2021
To explore the role of design thinking in contemporary computer literacy education, this study aimed to examine the relationship between young students' design thinking disposition and their computer programming self-efficacy. To assess students' design thinking disposition, this study developed the Design Thinking Disposition Scale (DTDS) with a…
Descriptors: Design, Thinking Skills, Computer Science Education, Computer Literacy
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DeLiema, David; Kwon, Yejin Angela; Chisholm, Andrea; Williams, Immanuel; Dahn, Maggie; Flood, Virginia J.; Abrahamson, Dor; Steen, Francis F. – Cognition and Instruction, 2023
When teachers, researchers, and students describe productively responding to moments of failure in the learning process, what might this mean? Blending prior theoretical and empirical research on the relationship between failure and learning, and empirical results from four data sets that are part of a larger design-based research project, we…
Descriptors: Guidelines, Learning Processes, Correlation, Failure
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Ketenci, Tuba; Calandra, Brendan; Margulieux, Lauren; Cohen, Jonathan – Journal of Research on Technology in Education, 2019
This study, which took place during a 7-week middle school computing course, used structural equation modeling to examine the overall cumulative relationship between self-efficacy, interest, and prior computing experience and students' computer science learning outcomes. The findings indicated that 52% of the variance of student success, measured…
Descriptors: Correlation, Student Characteristics, Outcomes of Education, Middle School Students
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Türker, Pinar Mihci; Pala, Ferhat Kadir – Journal on School Educational Technology, 2020
The aim of this study is to investigate the computational thinking skills of secondary school students and their perceived self-efficacy related to block-based programming. The study group consists of 464 students attending 5, 6, 7, and 8 grades in a province located in the Central Anatolia region, Turkey. Data were collected by Computational…
Descriptors: Thinking Skills, Self Efficacy, Programming Languages, Secondary School Students
Karaoglan Yilmaz, Fatma Gizem – Online Submission, 2020
The aim of this research is to examine the relationships between students' community of inquiry, academic self-efficacy, reflective thinking skills, problem-solving skills, and metacognitive awareness in a flipped learning environment supported by personalized recommendation and guidance messages based on learning analytics. For this purpose,…
Descriptors: Blended Learning, Learning Analytics, Feedback (Response), Individualized Instruction
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Gurer, Melih Derya; Cetin, Ibrahim; Top, Ercan – Informatics in Education, 2019
The aim of this study was to investigate the factors affecting the pre-service computer science teachers' attitudes towards computer programming (ATCP). The sample consists of 119 preservice teachers at a public state university. The influences of students' demographic characteristics (gender, grade level, and high school type), their achievement…
Descriptors: Programming, Preservice Teachers, State Universities, Academic Achievement
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