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Osman Kayhan; Özgen Korkmaz; Recep Çakir – Computers in the Schools, 2024
The aim of this study is to examine the effects of high school students' perceptions of computational thinking skills and perceptions of logical and mathematical intelligence on their programming self-efficacy. Descriptive survey model as a quantitative research design was used in the research. The data were collected face to face on a voluntary…
Descriptors: Computation, Thinking Skills, Logical Thinking, Self Efficacy
Chiao Ling Huang; Lianzi Fu; Shih-Chieh Hung; Shu Ching Yang – Journal of Computer Assisted Learning, 2025
Background: Many studies have highlighted the positive effects of visual programming instruction (VPI) on students' learning experiences, programming self-efficacy and flow experience. However, there is a notable gap in the research on how these factors specifically impact programming achievement and learning intentions. Our study addresses this…
Descriptors: Attention, Self Efficacy, Visual Aids, Instructional Effectiveness
Caines Turnipseed, Melissa Arlette – ProQuest LLC, 2023
The computer science industry and college degree programs for computer science throughout the country suffer from the "pipeline shrinkage problem", which describes the declining number of qualified people in various industries (Kordaki & Berdousis, 2014). For computer science, the specific population decline relates to a shortage of…
Descriptors: High School Students, Females, Computer Science Education, Career Pathways
Hsiao, Hsien-Sheng; Chen, Jyun-Chen; Chen, Jhen-Han; Chien, Yu-Hung; Chang, Chung-Pu; Chung, Guang-Han – Educational Technology Research and Development, 2023
Since the late twentieth century, with the development of the Internet of Things (IoT), the IoT covers the application of comprehensive knowledge and technology in the fields of circuitry, physics, mechanics, and information, making it a suitable topic for hands-on science, technology, engineering, and mathematics (STEM) activities. The IoT covers…
Descriptors: Gamification, Models, High School Students, Programming
Sun, Chongning; Clarke-Midura, Jody – Mentoring & Tutoring: Partnership in Learning, 2022
We developed a near-peer mentoring model for high school youth to mentor middle school youth on how to program using MIT App Inventor. The purpose of this study was to investigate: (a) the effectiveness of the near-peer mentoring model for the mentees; and (b) how the mentees' vicarious experience with the near-peer mentors led to changes in their…
Descriptors: Mentors, Peer Teaching, Models, High School Students
Sonia Triana-Vera; Omar López-Vargas – Contemporary Educational Technology, 2025
This research aimed to determine the effects of motivational scaffolding and adaptive scaffolding on academic and online self-efficacy in learners interacting with a multimedia learning environment within the field of technology. The study involved 146 students from four tenth-grade classes at a public institution in the municipality of Soacha…
Descriptors: Self Efficacy, Electronic Learning, Scaffolding (Teaching Technique), High School Students
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
Chen, Ching-Huei; Liu, Tung-Kai; Huang, Kun – Journal of Research on Technology in Education, 2023
With the rapid development of artificial intelligence in many disciplines, computational thinking (CT) has become an important skill for the 21st century. To promote vocational high school students' CT skills in learning about programmable logic controllers, this study intended to examine how cognitive and metacognitive prompts separately or…
Descriptors: Vocational High Schools, High School Students, Thinking Skills, Computation
Fang, Jian-Wen; Shao, Dan; Hwang, Gwo-Jen; Chang, Shao-Chen – Journal of Educational Computing Research, 2022
Scholars believe that computational thinking is one of the essential competencies of the 21st century and computer programming courses have been recognized as a potential means of fostering students' computational thinking. In tradition instruction, PFCT (problem identification, flow definition, coding, and testing) is a commonly adopted procedure…
Descriptors: Computation, Thinking Skills, Programming, Computer Science Education
Qian, Yizhou; Hambrusch, Susanne; Yadav, Aman; Gretter, Sarah; Li, Yue – Journal of Educational Computing Research, 2020
A quality computer science (CS) teacher needs to understand students' common misconceptions in learning CS. This study explored one aspect of CS teachers' understanding of student misconceptions: their perceptions of student misconceptions related to introductory programming. Perceptions in this study included three parts: teachers' perceived…
Descriptors: Teacher Attitudes, Misconceptions, Introductory Courses, Programming
Threekunprapam, Arinchaya; Yasri, Pratchayapong – European Journal of Educational Research, 2020
Using unplugged coding activities to promote computational thinking (CT) among secondary learners has become increasingly popular. Benefits of using unplugged coding activities involve the cost-effective implementation, the ability to promote computer science concepts and self-efficacy in learning computer programming, and the engaging nature of…
Descriptors: Thinking Skills, Independent Study, High School Students, Coding
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
Efecan, Can Fatih; Sendag, Serkan; Gedik, Nuray – Journal of Educational Computing Research, 2021
Learning programming is a painful process for most students, especially those learning text- based programming languages. In this study, based on the principle of Bandura's social learning theory, the vicarious real-life experiences of several pioneers in the field of IT and programming were presented as 15-minutes stories to a group of 9th…
Descriptors: Programming, Computer Science Education, Academic Achievement, Comparative Analysis
Clarke-Midura, Jody; Sun, Chongning; Pantic, Katarina; Poole, Frederick J.; Allan, Vicki – ACM Transactions on Computing Education, 2019
Our work is situated in research on Computer Science (CS) learning in informal learning environments and literature on the factors that influence girls to enter CS. In this article, we outline design choices around the creation of a summer programming camp for middle school youth. In addition, we describe a near-peer mentoring model we used that…
Descriptors: Computer Science Education, Educational Environment, Females, Middle School Students
Webb, Heidi Cornelia – ProQuest LLC, 2013
Advances in technology have caused high schools to update their computer science curricula; however there has been little analogous attention to technology-related education in middle schools. With respect to computer-related knowledge and skills, middle school students are at a critical phase in life, exploring individualized education options…
Descriptors: Middle School Students, Computer Science Education, Computer Literacy, Thinking Skills
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