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ChanMin Kim; Brian R. Belland; Lucas Vasconcelos; Roger B. Hill – SAGE Open, 2024
In this qualitative study, preservice early childhood education teachers created block-based code to control robots and used the robots in field experience at local preschools. The study is grounded in a conceptual framework that weaves together playful programing and resilience, interlocking concepts that can explain sustained engagement during…
Descriptors: Play, Resilience (Psychology), Preservice Teachers, Computer Science
Karen Jo Johnson – ProQuest LLC, 2020
The purpose of this study was to determine the effects of a simulation with worked examples on the creation of episodic memories and the troubleshooting ability of maintenance technician students. Previous research shows that domain knowledge, conceptual knowledge, strategic knowledge, and episodic memories are all required to successfully…
Descriptors: Simulation, Problem Solving, Memory, Troubleshooting
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Lachney, Michael; Yadav, Aman; Drazin, Matt; Allen, Madison C.; Babbitt, William – TechTrends: Linking Research and Practice to Improve Learning, 2021
Despite the value that cultural experts bring to efforts to broaden the participation of racially minoritized youth in US computer science, there has been little research on supporting their knowledge of computing. This is a missed opportunity to explore the diffusion of computing knowledge across local community contexts where underrepresented…
Descriptors: Culturally Relevant Education, Computer Science Education, Community Education, Expertise
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Figland, Whitney L.; Blackburn, J. Joey; Stair, Kristin S.; Burnet, Michael F. – Journal of Agricultural Education, 2021
Problem solving has been regarded as one of the most important cognitive skills in everyday life. The complexity of problem solving in technical areas is a critical component to developing the problem solving abilities of agricultural education students. This study grounded in Kirton's AdaptationInnovation Theory (A-I Theory), sought to identify…
Descriptors: Cognitive Style, Diversity, Troubleshooting, Undergraduate Students
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Sanchez Reyes, Luna L.; McTavish, Emily Jane – Journal of Statistics and Data Science Education, 2022
Research reproducibility is essential for scientific development. Yet, rates of reproducibility are low. As increasingly more research relies on computers and software, efforts for improving reproducibility rates have focused on making research products digitally available, such as publishing analysis workflows as computer code, and raw and…
Descriptors: Case Studies, Replication (Evaluation), Data Science, Scientific Research
Doubet, Kristina J. – ASCD, 2022
Want to make your instruction more equitable and effective, more interesting, and more fun? It's time to try flexible grouping. Unlike traditional grouping, which typically puts like with like or combines students without regard to the best way to promote their individual growth, flexible grouping is both purposeful "and" fluid,…
Descriptors: Grouping (Instructional Purposes), Individualized Instruction, Educational Strategies, Group Activities
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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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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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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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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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