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Stephanie Yang; Miles Baird; Eleanor O’Rourke; Karen Brennan; Bertrand Schneider – ACM Transactions on Computing Education, 2024
Students learning computer science frequently struggle with debugging errors in their code. These struggles can have significant downstream effects--negatively influencing how students assess their programming ability and contributing to their decision to drop out of CS courses. However, debugging instruction is often an overlooked topic, and…
Descriptors: Computer Science Education, Troubleshooting, Programming, Teaching Methods
Jonathan Robert Bowers – ProQuest LLC, 2024
To make sense of our interconnected and algorithm driven world, students increasingly need proficiency with computational thinking (CT), systems thinking (ST), and computational modeling. One aspect of computational modeling that can support students with CT, ST, and modeling is testing and debugging. Testing and debugging enables students to…
Descriptors: Troubleshooting, Thinking Skills, Computation, Computer Science Education
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Colin Hennessy Elliott; Jessie Nixon; Alexandra Gendrau Chakarov; Jeffrey B. Bush; Michael J. Schneider; Mimi Recker – ACM Transactions on Computing Education, 2024
Objectives: Physical computing systems are increasingly being integrated into secondary school science and STEM instruction, yet little is known about how teachers, especially those with little background and experience in computing, help students during the inevitable debugging moments that arise. In this article, we describe a framework,…
Descriptors: Computer Science Education, Troubleshooting, Teaching Methods, Secondary School Students
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Ian Descamps; Sophia Jeon; N. G. Holmes; Rachel E. Scherr; David Hammer – Physical Review Physics Education Research, 2024
In introductory physics laboratory instruction, students often expect to confirm or demonstrate textbook physics concepts. This expectation is largely undesirable: labs that emphasize confirmation of textbook physics concepts are generally unsuccessful at teaching those concepts and even in contexts that do not emphasize confirmation, such…
Descriptors: Physics, Science Instruction, Teaching Methods, Personal Autonomy
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Hasan Maksum; Wawan Purwanto; Siman; Dina Ampera; Dori Yuvenda; Hanapi Hasan – International Journal of Education in Mathematics, Science and Technology, 2024
Preliminary research showed that the learning process could have been more optimal, and this led to the research to develop a TEFA Model with the PBL concept as a valid, practical, and effective method of improving the problem-solving and communication skills of Automotive Vocational Education students. The process involved using the Research and…
Descriptors: Vocational Education, Motor Vehicles, Auto Mechanics, Problem Solving
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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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Kevin J. Tu; Angela C. Sun; Daniel Levin – Journal of College Science Teaching, 2024
Undergraduate research experiences (UREs) significantly enhance the outcomes of students who participate. Unfortunately, students may face barriers to engaging in UREs, which creates challenges for students' development of essential research skills that may not be covered thoroughly in laboratory classes. Overall, there is a need for a curriculum…
Descriptors: Instructional Design, Molecular Biology, Science Instruction, Teaching Methods