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Showing 211 to 225 of 706 results Save | Export
Jennifer Tsan – ProQuest LLC, 2020
Collaborative learning has long been investigated for its benefits to learners. Prior research indicates that collaboration may help students develop more sophisticated arguments and learn more effectively. While a great deal of research has been completed on how elementary students collaborate, there has been little research on how they…
Descriptors: Cooperative Learning, Elementary School Students, Computer Science Education, Problem Solving
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Kim, ChanMin; Belland, Brian R.; Baabdullah, Afaf; Lee, Eunseo; Dinç, Emre; Zhang, Anna Y. – AERA Open, 2021
Tinkering is often viewed as arbitrary practice that should be avoided. However, tinkering can be performed as part of a sound reasoning process. In this ethnomethodological study, we investigated tinkering as a reasoning process that construes logical inferences. This is a new asset-based approach that can be applied in computer science…
Descriptors: Abstract Reasoning, Logical Thinking, Problem Solving, Inferences
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Oriol Borrás-Gené; Raquel Hijón-Neira; Pedro Paredes-Barragán; Lucía Serrano-Luján – International Journal of Game-Based Learning, 2024
Educational escape rooms aims to motivate students, to strengthen knowledge and evaluate learning. Pre-service teachers enrolled in "Computer Science and Digital Competency" course shows lack of motivation and difficulties to realise its usefulness in everyday practice, becoming an ideal context to apply this strategy. 157 students…
Descriptors: Blended Learning, Problem Solving, Student Motivation, Programming
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Febrian, Andreas; Lawanto, Oenardi – International Education Studies, 2018
The ability of students to problem solve begins with interpreting the problem. When they interpret the problem inaccurately, they will likely use ineffective strategies or fail to solve the problem. Studies reported students are often incapable of identifying and articulating the problem goal, requirements/constraints, and expected output. In…
Descriptors: Computer Science Education, Programming, Problem Solving, College Seniors
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Ezeamuzie, Ndudi O.; Leung, Jessica S. C.; Ting, Fridolin S. T. – Journal of Educational Computing Research, 2022
Although abstraction is widely understood to be one of the primary components of computational thinking, the roots of abstraction may be traced back to different fields. Hence, the meaning of abstraction in the context of computational thinking is often confounded, as researchers interpret abstraction through diverse lenses. To disentangle these…
Descriptors: Computer Science Education, Thinking Skills, Research Reports, Abstract Reasoning
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Ouyang, Fan; Dai, Xinyu; Chen, Si – International Journal of STEM Education, 2022
Background: Instructor scaffolding is proved to be an effective means to improve collaborative learning quality, but empirical research indicates discrepancies about the effect of instructor scaffoldings on collaborative programming. Few studies have used multimodal learning analytics (MMLA) to comprehensively analyze the collaborative programming…
Descriptors: Learning Analytics, Scaffolding (Teaching Technique), Small Group Instruction, Computer Science Education
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Avci, Canan; Deniz, Mine Nur – Education and Information Technologies, 2022
Computational thinking (CT) is considered a group of problem-solving skills that the next generations are expected to possess. The most efficient way to make them acquire these skills is to incorporate CT into K-12 education. To this end, various education programs have been designed to improve teachers' and prospective teachers' competence in CT.…
Descriptors: Early Childhood Teachers, Preservice Teachers, Computation, Thinking Skills
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Miller, Craig S.; Settle, Amber – ACM Transactions on Computing Education, 2019
We investigate conditions in which novices make some reference errors when programming. We asked students from introductory programming courses to perform a simple code-writing task that required constructing references to objects and their attributes. By experimentally manipulating the nature of the attributes in the tasks, from identifying…
Descriptors: Error Patterns, Novices, Programming, Introductory Courses
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Hsu, Yu-Chang; Ching, Yu-Hui; Callahan, Janet; Bullock, Doug – TechTrends: Linking Research and Practice to Improve Learning, 2021
STEM major students often enter colleges with a need to strengthen their foundational mathematics, such as trigonometry. We designed an innovative undergraduate course that aims to strengthen students' trigonometry knowledge application through programming mobile apps. We explored how students applied trigonometry concepts in developing their…
Descriptors: Undergraduate Students, STEM Education, Majors (Students), Mathematics Skills
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Siegle, Del – Gifted Child Today, 2020
The Thunkable online platform is an easy-to-use resource for creating apps for mobile devices. Computational thinking is at the heart of problem solving in computer science, and research suggests students' computational thinking improves when they use simple block coding systems similar to the format used for Thunkable.
Descriptors: Gifted Education, Academically Gifted, Technology Uses in Education, Computer Oriented Programs
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Remshagen, Anja; Huett, Kim C. – TechTrends: Linking Research and Practice to Improve Learning, 2023
As schools endeavor to provide all students with access to computational thinking and computer science, the hackathon emerges as a competitive and high-energy event that uses authentic problems to motivate learners to engage in the domain of computing. This article presents the design case of a hackathon for teenagers as enacted over five…
Descriptors: Adolescents, Computer Software, Group Activities, Problem Solving
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Espinal, Alejandro; Vieira, Camilo; Guerrero-Bequis, Valeria – Computer Science Education, 2023
Background and context: Transfer is a process where students apply their learning to different contexts. This process includes using their knowledge to solve problems with similar complexity, and in new contexts. In the context of programming, transfer also includes being able to understand and use different programming languages. Objective: This…
Descriptors: Block Scheduling, Computer Science Education, Programming Languages, Coding
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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
Mohammed Alzaid – ProQuest LLC, 2022
Distributed self-assessments and reflections empower learners to take the lead on their knowledge gaining evaluation. Both provide essential elements for practice and self-regulation in learning settings. Nowadays, many sources for practice opportunities are made available to the learners, especially in the Computer Science (CS) and programming…
Descriptors: Learning Analytics, Self Evaluation (Individuals), Programming, Problem Solving
Qian, Yizhou – ProQuest LLC, 2018
With the expansion of computer science (CS) education, CS teachers in K-12 schools should be cognizant of student misconceptions and be prepared to help students establish accurate understanding of computer science and programming. This exploratory design-based research (DBR) study implemented a data-driven approach to identify secondary school…
Descriptors: Misconceptions, Data, Decision Making, Computer Science Education
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