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Showing 1 to 15 of 51 results Save | Export
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Chen, Peggy P. – New Directions for Teaching and Learning, 2023
Many introductory computer science (CS) courses are intended to address the increased demand for computer literacy and the development of cross-cutting concepts and practices of computational thinking (CT). Colleges and universities offer introductory CS courses every semester toward this end. The issue is centered on how to support CT learning in…
Descriptors: Introductory Courses, Computer Science Education, Computer Literacy, Thinking Skills
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Dan Sun; Fan Ouyang; Yan Li; Chengcong Zhu; Yang Zhou – Journal of Computer Assisted Learning, 2024
Background: With the development of computational literacy, there has been a surge in both research and practice application of text-based and block-based modalities within the field of computer programming education. Despite this trend, little work has actually examined how learners engaging in programming process when utilizing these two major…
Descriptors: Computer Science Education, Programming, Computer Literacy, Comparative Analysis
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Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
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Jessica M. M. Hamer; Peter E. J. Kemp; Billy Wong; Meggie Copsey-Blake – Cambridge Journal of Education, 2024
Digital skills are beneficial for young people and society, but some individuals, particularly girls, are less likely to choose computing post-compulsory education. Coding is a crucial skill in the school computing curriculum. The authors collected survey data from 4983 secondary-school students (ages 11-16) as well as conducted exploratory factor…
Descriptors: Foreign Countries, Secondary School Students, Computer Science Education, Coding
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Prasad, Alvin; Chaudhary, Kaylash; Sharma, Bibhya – Education and Information Technologies, 2022
As a novice, learning computer programming is challenging. It requires learners to be inquisitive and acquire skills to analyze problems to get to solutions critically. Unfortunately, students drop out of programming courses because students think that programming is difficult to understand. The student's understanding of the problem definition is…
Descriptors: Programming, Computer Science Education, Skill Development, Computer Literacy
Devon M. Christman – ProQuest LLC, 2024
Computer use has become a fact of life, especially for children, many of whom were forced to switch to online learning during the COVID-19 pandemic and resorted to digital hobbies as a safety measure. Further the amount of time children spend on computers, as well as the number of different computer devices that pervade our post-pandemic society…
Descriptors: Computer Software, Computer Use, Information Technology, Cognitive Science
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Carlos Sandoval-Medina; Carlos Argelio Arévalo-Mercado; Estela Lizbeth Muñoz-Andrade; Jaime Muñoz-Arteaga – Journal of Information Systems Education, 2024
Learning basic programming concepts in computer science-related fields poses a challenge for students, to the extent that it becomes an academic-social problem, resulting in high failure and dropout rates. Proposed solutions to the problem can be found in the literature, such as the development of new programming languages and environments, the…
Descriptors: Cognitive Ability, Computer Science Education, Programming, Instructional Materials
Meen Chul Kim – ProQuest LLC, 2021
In this dissertation, I argue that web development can play a pivotal role in developing computational thinking as well as provide a stepping stone to an advanced mastery of computation. The preceding literature has extensively examined not only how learners practice computational thinking with a wide array of programming languages, but also how…
Descriptors: Programming, Computer Science Education, Mental Computation, Thinking Skills
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Mariano, Diego; Martins, Pedro; Helene Santos, Lucianna; de Melo-?Minardi, Raquel Cardoso – Biochemistry and Molecular Biology Education, 2019
The advent of the high-throughput next-generation sequencing produced a large number of biological data. Knowledge discovery from the huge amount of available biological data requires researchers to develop solid skills in biology and computer science. As the majority of the Bioinformatics professionals are either computer science or life sciences…
Descriptors: Computer Literacy, Computer Science Education, Programming, Biological Sciences
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Tijani, Fatimah; Callaghan, Ronel; de Villers, Rian – African Journal of Research in Mathematics, Science and Technology Education, 2020
The use of Scratch programming in introducing text-based programming to novices at all levels of education has gained prominence in computer science but is still hardly known among pre-service teachers. With affordances of Scratch in learning text-based programming, we present an experience report on how we supported our first-year pre-service…
Descriptors: Preservice Teachers, Computer Science Education, Preservice Teacher Education, Programming
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Adler, Rachel F.; Beck, Kristan – Journal of Technology and Teacher Education, 2020
Computational thinking (CT) involves breaking a problem into smaller components and solving it using algorithmic thinking and abstraction. CT is no longer exclusively for computer scientists but for everyone. While CT does not necessarily require programming, learning programming to enhance CT skills at a young age can help shape the next…
Descriptors: Curriculum Development, Introductory Courses, Computer Science Education, Preservice Teachers
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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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Ezeamuzie, Ndudi O. – Journal of Educational Computing Research, 2023
Most studies suggest that students develop computational thinking (CT) through learning programming. However, when the target of CT is decoupled from programming, emerging evidence challenges the assertion of CT transferability from programming. In this study, CT was operationalized in everyday problem-solving contexts in a learning experiment (n…
Descriptors: Programming, Computer Science Education, Problem Solving, Thinking Skills
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Yadav, Aman; Berges, Marc – ACM Transactions on Computing Education, 2019
Computer science education efforts are expanding across the globe to equip students with the necessary computing skills for today's digital world. However, preparing students to become literate in computing activities requires the training of tens of thousands of teachers in computer science. The discrepancy between student needs and teacher…
Descriptors: Computer Science Education, Pedagogical Content Knowledge, Computer Literacy, Knowledge Level
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Ivy, Jessica; Kelley, Robert; Cook, Kristin; Thomas, Kevin – International Journal of Computer Science Education in Schools, 2020
Although many practicing teachers have not experienced teacher preparation programs that teach cyber security (Pusely & Sadera, 2011) or are familiar with cyber principles (Authors), embedding these ideas into instruction in a variety of content areas is essential for promoting cyber literacy and citizenship. This study explores a professional…
Descriptors: Secondary School Curriculum, High School Teachers, Middle School Teachers, Faculty Development
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