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Daleiden, Patrick; Stefik, Andreas; Uesbeck, P. Merlin; Pedersen, Jan – ACM Transactions on Computing Education, 2020
There are many paradigms available to address the unique and complex problems introduced with parallel programming. These complexities have implications for computer science education as ubiquitous multi-core computers drive the need for programmers to understand parallelism. One major obstacle to student learning of parallel programming is that…
Descriptors: Randomized Controlled Trials, Performance Factors, Programming, Computer Science Education
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Türker, Pinar Mihci; Pala, Ferhat Kadir – International Journal of Computer Science Education in Schools, 2020
In this study, the effect of algorithm education on pre-service teachers' computational thinking skills and computer programming self-efficacy perceptions were examined. In the study, one group pretest posttest experimental design was employed. The participants consisted of 24 (14 males and 10 females) pre-service teachers, majoring in Computer…
Descriptors: Mathematics, Computation, Computer Science Education, Programming
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Margulieux, Lauren E.; Morrison, Briana B.; Decker, Adrienne – International Journal of STEM Education, 2020
Background: Programming a computer is an increasingly valuable skill, but dropout and failure rates in introductory programming courses are regularly as high as 50%. Like many fields, programming requires students to learn complex problem-solving procedures from instructors who tend to have tacit knowledge about low-level procedures that they have…
Descriptors: Programming, Computer Science Education, Introductory Courses, Withdrawal (Education)
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Ezeamuzie, Ndudi O. – Education and Information Technologies, 2023
Several instructional approaches have been advanced for learning programming. However, effective ways of engaging beginners in programming in K-12 are still unclear, especially among low socioeconomic status learners in technology-deprived learning environments. Understanding the learning path of novice programmers will bridge this gap and explain…
Descriptors: Programming, Constructivism (Learning), Programming Languages, Computer Science Education
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Kiliç, Servet – Informatics in Education, 2023
This study aims to explore how gamification elements influence the development of the Community of Inquiry (CoI) in an online project-based programming course conducted on Facebook. We formed student groups by using a quasi-experimental design from students studying in the computer science department. While both courses were project-based, the…
Descriptors: Instructional Effectiveness, Gamification, Communities of Practice, Inquiry
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Kuo, Yu-Chen; Chen, Yun-An – Education and Information Technologies, 2023
With the development of science and technology, the demand for programmers has increased. However, learning computer programs is not an easy task. It might cause a significant impact on programming if misconceptions exist at the beginning of the study. Hence, it is important to discover and correct them immediately. Chatbots are effective teaching…
Descriptors: Programming, Artificial Intelligence, Computer Science Education, Misconceptions
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Murai, Yumiko; Ikejiri, Ryohei; Yamauchi, Yuhei; Tanaka, Ai; Nakano, Seiko – Interactive Learning Environments, 2023
Cultivating children's creativity and imagination is fundamental to preparing them for an increasingly complex and uncertain future. Engaging in creative learning enables children to think independently and critically, work cooperatively, and take risks while actively engaged in meaningful projects. While current trends in education, such as maker…
Descriptors: Creativity, Imagination, Teaching Methods, Computer Science Education
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Umar Shehzad; Jody Clarke-Midura; Mimi Recker – ACM Transactions on Computing Education, 2024
Objectives: The increasing demand for computing skills has led to a rapid rise in the development of new computer science (CS) curricula, many with the goal of equitably broadening the participation of underrepresented students in CS. While such initiatives are vital, factors outside of the school environment also play a role in influencing…
Descriptors: Parent Child Relationship, Computer Science Education, Programming, Equal Education
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Katharine Childs; Sue Sentance – International Journal of Computer Science Education in Schools, 2024
Gender balance in computing education is a decades-old issue that has been the focus of much previous research. In K-12, the introduction of mandatory computing education goes some way to giving all learners the opportunity to engage with computing throughout school, but a gender imbalance still persists when computer science becomes an elective…
Descriptors: Computer Science Education, Females, Student Attitudes, Elementary School Students
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Sally McHugh; Noel Carroll; Cornelia Connolly – Computers in the Schools, 2024
Citizen Development (CD) is a method of delivering low-code no-code (LCNC) development that empowers subject matter experts to design, develop, and deploy applications into production as though they were full-on, experienced coders. This paper explores teachers' perceptions around the potential for, and enactment of LCNC in our education system.…
Descriptors: Secondary School Teachers, Teacher Empowerment, Teacher Attitudes, Technology Uses in Education
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LópezLeiva, Carlos A.; Noriega, Gabino; Celedón-Pattichis, Sylvia; Pattichis, Marios S. – Teachers College Record, 2022
Background/Context: Computer programming is rarely accessible to K-12 students, especially for those from culturally and linguistically diverse backgrounds. Middle school age is a transitioning time when adolescents are more likely to make long-term decisions regarding their academic choices and interests. Having access to productive and positive…
Descriptors: Hispanic American Students, Student Experience, Mathematics Education, Programming
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Iqbal Malik, Sohail; Mathew, Roy; Tawafak, Ragad M.; Alfarsi, Ghaliya – E-Learning and Digital Media, 2021
Algorithmic thinking is considered as one of the important steps toward learning to code for novices in programming education. In this study, algorithmic thinking was promoted by introducing a Problem Analysis Algorithmic Model (PAAM) in an Algorithms and Programming 1 (AP) course. A web-based application is developed to offer the PAAM model in…
Descriptors: Web Based Instruction, Models, Computer Science Education, Programming
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Yong, Su Ting; Tiong, Kung Ming; Chan, Andy; Khiew, Poi Sim – International Journal of Virtual and Personal Learning Environments, 2021
This study explored students' perceptions of a flipped classroom for an introductory programming class. Students were required to watch video lectures and read lecture notes in advance (pre-class self-study) to prepare themselves for the in-class lectures and tutorials. A mix-methods approach was employed: quantitative survey (n=204) and…
Descriptors: Flipped Classroom, Learning Experience, Programming, Student Attitudes
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Mecca, Giansalvatore; Santoro, Donatello; Sileno, Nazzareno; Veltri, Enzo – International Journal of Educational Technology in Higher Education, 2021
Computational thinking is the capacity of undertaking a problem-solving process in various disciplines (including STEM, i.e. science, technology, engineering and mathematics) using distinctive techniques that are typical of computer science. It is nowadays considered a fundamental skill for students and citizens, that has the potential to affect…
Descriptors: Mental Computation, Thinking Skills, Coding, Programming
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Somyürek, Sibel; Brusilovsky, Peter; Çebi, Ayça; Akhüseyinoglu, Kamil; Güyer, Tolga – International Journal of Information and Learning Technology, 2021
Purpose: Interest is currently growing in open social learner modeling (OSLM), which means making peer models and a learner's own model visible to encourage users in e-learning. The purpose of this study is to examine students' views about the OSLM in an e-learning system. Design/methodology/approach: This case study was conducted with 40…
Descriptors: Student Attitudes, Self Evaluation (Individuals), Peer Evaluation, Electronic Learning
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