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Kirton Adaption Innovation…1
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Heidi Taveter; Marina Lepp – Informatics in Education, 2025
Learning programming has become increasingly popular, with learners from diverse backgrounds and experiences requiring different support. Programming-process analysis helps to identify solver types and needs for assistance. The study examined students' behavior patterns in programming among beginners and non-beginners to identify solver types,…
Descriptors: Behavior Patterns, Novices, Expertise, Programming
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Fatima Abu Deeb; Timothy Hickey – Computer Science Education, 2024
Background and Context: Auto-graders are praised by novice students learning to program, as they provide them with automatic feedback about their problem-solving process. However, some students often make random changes when they have errors in their code, without engaging in deliberate thinking about the cause of the error. Objective: To…
Descriptors: Reflection, Automation, Grading, Novices
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Xiner Liu; Andres Felipe Zambrano; Ryan S. Baker; Amanda Barany; Jaclyn Ocumpaugh; Jiayi Zhang; Maciej Pankiewicz; Nidhi Nasiar; Zhanlan Wei – Journal of Learning Analytics, 2025
This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…
Descriptors: Coding, Artificial Intelligence, Automation, Data Analysis
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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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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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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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Oren, Mehmet; Pedersen, Susan; Butler-Purry, Karen L. – IEEE Transactions on Education, 2021
Contribution: This article presents the design of in-game tools to support learning within an educational video game and investigates the impact of tool usage on engineering students' performance in an introductory digital circuit design course. Background: Despite the level of appeal of video games to college students, there is a lack of…
Descriptors: Video Games, Educational Games, Game Based Learning, Instructional Effectiveness
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Fields, Deborah; Lui, Debora; Kafai, Yasmin; Jayathirtha, Gayithri; Walker, Justice; Shaw, Mia – Computer Science Education, 2021
Background and Context: While assessment of computational thinking concepts, practices, and perspectives is at the forefront of K-12 CS education, supporting student "communication about computation" has received relatively little attention. Objective: To examine the usability of process-based portfolios for capturing students'…
Descriptors: Computer Science Education, Computation, Thinking Skills, Student Projects
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Lepp, Marina; Palts, Tauno; Luik, Piret; Kaspar, Papli; Suviste, Reelika; Säde, Merilin; Hollo, Kaspar; Vaherpuu, Vello; Tõnisson, Eno – International Review of Research in Open and Distributed Learning, 2018
Learning programming has become more and more popular and organizing introductory massive open online courses (MOOCs) on programming can be one way to bring this education to the masses. While programming MOOCs usually use automated assessment to give feedback on the submitted code, the lack of understanding of certain aspects of the tasks and…
Descriptors: Troubleshooting, Introductory Courses, Programming, Computer Science Education
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Fitzgerald, S.; McCauley, R.; Hanks, B.; Murphy, L.; Simon, B.; Zander, C. – IEEE Transactions on Education, 2010
Learning to debug is a difficult, yet essential, aspect of learning to program. Students in this multi-institutional study report that finding bugs is harder than fixing them. They use a wide variety of debugging strategies, some of them unexpected. Time spent on understanding the problem can be effective. Pattern matching, particularly at the…
Descriptors: Undergraduate Study, Computer Science Education, Introductory Courses, Programming
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Bennedsen, Jens; Schulte, Carsten – ACM Transactions on Computing Education, 2010
This article reports on an experiment undertaken in order to evaluate the effect of a program visualization tool for helping students to better understand the dynamics of object-oriented programs. The concrete tool used was BlueJ's debugger and object inspector. The study was done as a control-group experiment in an introductory programming…
Descriptors: Programming, Introductory Courses, Control Groups, Experimental Groups
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Fitzgerald, Sue; Lewandowski, Gary; McCauley, Renee; Murphy, Laurie; Simon, Beth; Thomas, Lynda; Zander, Carol – Computer Science Education, 2008
Debugging is often difficult and frustrating for novices. Yet because students typically debug outside the classroom and often in isolation, instructors rarely have the opportunity to closely observe students while they debug. This paper describes the details of an exploratory study of the debugging skills and behaviors of contemporary novice Java…
Descriptors: Troubleshooting, Teaching Methods, Computer Science Education, Programming