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Showing 1 to 15 of 20 results Save | Export
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Poole, Frederick J.; Clarke-Midura, Jody; Rasmussen, Melissa; Shehzad, Umar; Lee, Victor R. – Computer Science Education, 2022
There is a growing perception that computational thinking can be developed in unplugged environments. A recent trend among these unplugged approaches is the use of tabletop games. While there are many commercial tabletop games on the market that are promoted as teaching computer science and/or computational skills, little is known about how these…
Descriptors: Teaching Methods, Games, Computation, Thinking Skills
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Zachary M. Savelson; Kasia Muldner – Computer Science Education, 2024
Background and Context: Productive failure (PF) is a learning paradigm that flips the order of instruction: students work on a problem, then receive a lesson. PF increases learning, but less is known about student emotions and collaboration during PF, particularly in a computer science context. Objective: To provide insight on students' emotions…
Descriptors: Student Attitudes, Psychological Patterns, Fear, Failure
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Kale, Ugur; Yuan, Jiangmei; Roy, Abhik – Computer Science Education, 2023
Background and Context: Various coding initiatives and materials exist such as those on Code.org site to promote students' computational thinking (CT). However, little is known as to: (a) whether such materials, in fact, promote CT and (b) how CT skills are related to each other. Objective: As a preliminary step to identify CT skills addressed in…
Descriptors: Thinking Skills, Computer Science Education, Programming, Problem Solving
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Morrison, Briana B.; Margulieux, Lauren E.; Decker, Adrienne – Computer Science Education, 2020
Background and Context: Subgoal labeled worked examples have been extensively researched, but the research has been reported piecemeal. This paper aggregates data from three studies, including data previously unreported, to holistically examine the effect of subgoal labeled worked examples across three student populations and across different…
Descriptors: Computer Science Education, Instructional Materials, Instructional Effectiveness, Problem Solving
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Berre, Arne J.; Huang, Shihong; Murad, Hani; Alibakhsh, Hanieh – Computer Science Education, 2018
This article presents the results of observations and analyses of students' learning model-driven system development from two related courses taught at a university in Norway and at a university in the United States in 2015, and consequently, in an updated version in 2016. The motivation of this article is to understand and analyse how effective…
Descriptors: Engineering Education, Computer Software, Foreign Countries, Problem Solving
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Finke, Sabrina; Kemény, Ferenc; Sommer, Markus; Krnjic, Vesna; Arendasy, Martin; Slany, Wolfgang; Landerl, Karin – Computer Science Education, 2022
Background: Key to optimizing Computational Thinking (CT) instruction is a precise understanding of the underlying cognitive skills. Román-González et al. (2017) reported unique contributions of spatial abilities and reasoning, whereas arithmetic was not significantly related to CT. Disentangling the influence of spatial and numerical skills on CT…
Descriptors: Spatial Ability, Cognitive Ability, Abstract Reasoning, Arithmetic
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Israel, Maya; Chung, Moon Y.; Wherfel, Quentin M.; Shehab, Saddeddine – Computer Science Education, 2020
Background and Context: Elementary computer science (CS) can be engaging and challenging for some students with disabilities who struggle with complex problem solving. Objective: This study examined academic engagement of students with autism spectrum disorder (ASD) in elementary CS instruction. Method: A mixed methods case study was used to study…
Descriptors: Elementary School Students, Computer Science Education, Autism, Pervasive Developmental Disorders
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Liu, Zhongxiu; Zhi, Rui; Hicks, Andrew; Barnes, Tiffany – Computer Science Education, 2017
Debugging is an over-looked component in K-12 computational thinking education. Few K-12 programming environments are designed to teach debugging, and most debugging research were conducted on college-aged students. In this paper, we presented debugging exercises to 6th-8th grade students and analyzed their problem solving behaviors in a…
Descriptors: Problem Solving, Middle School Students, Student Behavior, Programming
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Fee, Samuel B.; Holland-Minkley, Amanda M. – Computer Science Education, 2010
Regardless of the course topic, every instructor in a computing field endeavors to engage their students in deep problem-solving and critical thinking. One of the specific learning outcomes throughout our computer science curriculum is the development of independent, capable problem solving--and we believe good pedagogy can bring such about. Our…
Descriptors: Problem Based Learning, Problem Solving, Computer Science, Teaching Methods
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Piater, Justus H. – Computer Science Education, 2009
Conventional introduction to computer science presents individual algorithmic paradigms in the context of specific, prototypical problems. To complement this algorithm-centric instruction, this study additionally advocates problem-centric instruction. I present an original problem drawn from students' life that is simply stated but provides rich…
Descriptors: Computer Science, Teaching Methods, Undergraduate Students, Problem Solving
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Muller, Orna; Haberman, Bruria – Computer Science Education, 2008
Abstraction is a major concept in computer science and serves as a powerful tool in software development. Pattern-oriented instruction (POI) is a pedagogical approach that incorporates patterns in an introductory computer science course in order to structure the learning of algorithmic problem solving. This paper examines abstraction processes in…
Descriptors: Computer Science Education, Problem Solving, Computer Software, Pattern Recognition
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Lavy, Ilana; Rashkovits, Rami; Kouris, Roy – Computer Science Education, 2009
One of the subjects that undergraduate students learning Object Oriented (OO) design find hard to apply is the construction of class hierarchies in general, and the use of interface classes in particular. The design process requires decomposition and reconstruction of problems in order to model software classes. The common attributes and behaviors…
Descriptors: Undergraduate Students, Design, Problem Solving, Teaching Methods
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Kolikant, Yifat Ben-David; Pollack, Sarah – Computer Science Education, 2004
Norms govern the criteria by which students decide what is good and what is not good, and align their learning trajectories accordingly.We found that the high-school students' norm is to produce working, but not necessarily error-free, programs and to argue for their correctness solely on the basis of a few executions. Therefore, they prefer…
Descriptors: Norms, Computer Science, Teaching Methods, High School Students
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McCauley, Renee; Fitzgerald, Sue; Lewandowski, Gary; Murphy, Laurie; Simon, Beth; Thomas, Lynda; Zander, Carol – Computer Science Education, 2008
This paper reviews the literature related to the learning and teaching of debugging computer programs. Debugging is an important skill that continues to be both difficult for novice programmers to learn and challenging for computer science educators to teach. These challenges persist despite a wealth of important research on the subject dating…
Descriptors: Troubleshooting, Computer Science, Programming, Computer Software
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Tutty, J.; Sheard, J.; Avram, C. – Computer Science Education, 2008
This paper builds on previous research into teachers' conceptions of learning and teaching with an investigation of information technology academics. Using a phenomenographic approach to build a model of IT academics experiences and practice of teaching, we aimed to identify any specific issues that academics in the IT discipline face and to…
Descriptors: Higher Education, Discipline, Information Technology, Teaching Methods
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