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Caratiquit, Kevin – Online Submission, 2022
This study aimed to improve learners' academic performance in Computer Troubleshooting and Repair Techniques at Lal-lo National High School by using YouTube videos with teacher-made learning activity sheets as supplementary materials. The study employed a quasi-experimental design, particularly a one-group pretest and posttest design, in which the…
Descriptors: Video Technology, Technology Uses in Education, Supplementary Education, Computers
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Merve Aydin; Ünal Çakiroglu – Journal of Computer Assisted Learning, 2025
Background: Students experience higher-order thinking skills by finding ways to solve the problem, debugging errors while applying the solution, and testing the solution in programming. However, the inability to create schemas that will characterise programming structures is one of the difficulties during this process. Objectives: This study aimed…
Descriptors: Programming, Computer Science Education, Thinking Skills, Problem Solving
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Zeng, Mini; Zhu, Feng – Journal of Cybersecurity Education, Research and Practice, 2021
Software vulnerabilities have become a severe cybersecurity issue. There are numerous resources of industry best practices available, but it is still challenging to effectively teach secure coding practices. The resources are not designed for classroom usage because the amount of information is overwhelming for students. There are efforts in…
Descriptors: Computer Software, Coding, Computer Security, Computer Science Education
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Akcaoglu, Mete; Jensen, Lucas J.; Gonzalez, Daisy – International Journal of Technology in Education and Science, 2021
Problem solving is an essential skill for students to be successful in life and careers. Students need to use efficient strategies to solve problems effectively. In this basic interpretive qualitative study, we aimed to (a) explore children's problem-solving strategies in a game-based tool (i.e., puzzles), and (b) investigate the troubleshooting…
Descriptors: Children, Grade 5, Elementary School Students, Game Based Learning
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Zhanxia Yang; Marina Bers – Computer Science Education, 2024
Background and Context: Historically, women have been underrepresented in computer science. To address this gender gap, researchers advocate for high-quality computer science programs for early childhood. Objectives: This study examines gender differences in coding performance before and after implementing a 24-lesson visual programming curriculum…
Descriptors: Gender Differences, Grade 1, Elementary School Students, Programming
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Dahn, Maggie; DeLiema, David; Enyedy, Noel – Teachers College Record, 2020
Background/Context: Computer science has been making its way into K-12 education for some time now. As computer science education has moved into learning spaces, research has focused on teaching computer science skills and principles but has not sufficiently explored the emotional aspects of students' experiences. This topic warrants further study…
Descriptors: Computer Science Education, Coding, Programming, Student Experience
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Fuentes, Pablo; Camarero, Cristobal; Herreros, David; Mateev, Vladimir; Vallejo, Fernando; Martinez, Carmen – IEEE Transactions on Learning Technologies, 2022
Understanding the architecture of a processor can be uninteresting and deterring for computer science students, since low-level details of computer architecture are often perceived to lack real-world impact. These courses typically have a strong practical component where students learn the fundamentals of the computer architecture and the handling…
Descriptors: Computer Science Education, Computer System Design, Programming Languages, Fatigue (Biology)
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Verostek, Mike; Griston, Molly; Botello, Jesús; Zwickl, Benjamin – Physical Review Physics Education Research, 2022
Understanding how physicists solve problems can guide the development of methods that help students learn and improve at solving complex problems. Leveraging the framework of cognitive task analysis, we conducted semistructured interviews with theoretical physicists (N=11) to gain insight into the cognitive processes and skills that they use in…
Descriptors: Physics, Science Instruction, Teaching Methods, Troubleshooting
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Hoffman, Heather J.; Elmi, Angelo F. – Journal of Statistics and Data Science Education, 2021
Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…
Descriptors: Statistics Education, Programming Languages, Troubleshooting, Coding
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Mangaroska, Katerina; Sharma, Kshitij; Gaševic, Dragan; Giannakos, Michail – Journal of Computer Assisted Learning, 2022
Background: Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education research (CER) are not sufficient to capture information beyond the basic programming process data (i.e., IDE-log data).…
Descriptors: Cognitive Processes, Psychological Patterns, Problem Solving, Programming
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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
Sagun Giri – ProQuest LLC, 2023
Past efforts to teach novices programming through pair programming and project-based learning utilizing different low floors, high ceilings and wide walls platforms have been successful. Building from related work, this study investigates the effectiveness of Productive Failure (PF) pedagogical design in supporting youth and novices when learning…
Descriptors: Coding, Youth, Computation, Thinking Skills
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Socratous, Chrysanthos; Ioannou, Andri – Educational Technology Research and Development, 2021
The study aims to compare the effect of a structured versus an unstructured educational robotics (ER) curriculum on (a) the frequency and type of programming errors made by students in block-based programming, (b) their ability to debug a programme, and (c) their engagement in the learning process. The authors' hypothesis is that, in programming…
Descriptors: Robotics, Educational Technology, Programming Languages, Computer Science Education
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Robertson, Judy; Gray, Stuart; Martin, Toye; Booth, Josephine – International Journal of Computer Science Education in Schools, 2020
We argue that understanding the cognitive foundations of computational thinking will assist educators to improve children's learning in computing. We explain the conceptual relationship between executive functions and aspects of computational thinking. We present initial empirical data from 23 eleven year old learners which investigates the…
Descriptors: Executive Function, Computation, Thinking Skills, Mathematics Skills
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Boya-Lara, Carlos; Saavedra, Doris; Fehrenbach, Aaron; Marquez-Araque, Angel – International Journal of Educational Technology in Higher Education, 2022
In this work, BEAM robotics is proposed to enhance the STEM knowledge and skills of engineering students in the electrical, electronic, and mechanical domains. To evaluate the proposal, a course is designed and implemented based on a curriculum with objectives and learning activities centered on the design, construction, and operation of the BEAM…
Descriptors: Robotics, Technology Uses in Education, STEM Education, Curriculum Implementation
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