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Karavirta, Ville; Shaffer, Clifford A. – IEEE Transactions on Learning Technologies, 2016
Data Structures and Algorithms are a central part of Computer Science. Due to their abstract and dynamic nature, they are a difficult topic to learn for many students. To alleviate these learning difficulties, instructors have turned to algorithm visualizations (AV) and AV systems. Research has shown that especially engaging AVs can have an impact…
Descriptors: Electronic Learning, Computer Science, Animation, Mathematics
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Sorva, Juha; Karavirta, Ville; Malmi, Lauri – ACM Transactions on Computing Education, 2013
This article is a survey of program visualization systems intended for teaching beginners about the runtime behavior of computer programs. Our focus is on generic systems that are capable of illustrating many kinds of programs and behaviors. We inclusively describe such systems from the last three decades and review findings from their empirical…
Descriptors: Visualization, Programming, Guidelines, Introductory Courses
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Rinderknecht, Christian – Informatics in Education, 2014
We survey the literature about the teaching and learning of recursive programming. After a short history of the advent of recursion in programming languages and its adoption by programmers, we present curricular approaches to recursion, including a review of textbooks and some programming methodology, as well as the functional and imperative…
Descriptors: Teaching Methods, Learning Processes, Visualization, Animation
Imai, Yoshiro; Imai, Masatoshi; Moritoh, Yoshio – International Association for Development of the Information Society, 2013
This paper presents trial evaluation of a visual computer simulator in 2009-2011, which has been developed to play some roles of both instruction facility and learning tool simultaneously. And it illustrates an example of Computer Architecture education for University students and usage of e-Learning tool for Assembly Programming in order to…
Descriptors: Computer Simulation, Teaching Methods, Cooperative Learning, Programming
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Ma, L.; Ferguson, J.; Roper, M.; Wood, M. – Computer Science Education, 2011
The teaching of introductory computer programming seems far from successful, with many first-year students performing more poorly than expected. One possible reason for this is that novices hold "non-viable" mental models (internal explanations of how something works) of key programming concepts which then cause misconceptions and difficulties. An…
Descriptors: Teaching Models, Programming, Misconceptions, Models
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Urquiza-Fuentes, Jaime; Velazquez-Iturbide, J. Angel – ACM Transactions on Computing Education, 2009
This article reviews successful educational experiences in using program and algorithm visualizations (PAVs). First, we survey a total of 18 PAV systems that were subject to 33 evaluations. We found that half of the systems have only been tested for usability, and those were shallow inspections. The rest were evaluated with respect to their…
Descriptors: Mathematics, Evaluation Criteria, Use Studies, Computer Science Education
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Sajaniemi, Jorma; Kuittinen, Marja; Tikansalo, Taina – Journal on Educational Resources in Computing, 2008
Students' understanding of object-oriented (OO) program execution was studied by asking students to draw a picture of a program state at a specific moment. Students were given minimal instructions on what to include in their drawings in order to see what they considered to be central concepts and relationships in program execution. Three drawing…
Descriptors: Freehand Drawing, Programming, Student Development, Misconceptions
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Moor, Brian D.; Deek, Fadi P. – Journal of Information Technology Education, 2006
Few beginners find learning to program easy. There are many factors at work in this phenomenon with some being simply inherent in the subject itself, while others have more to do with deficiencies in learning methods and resources. As a result, many programming environments, software applications, and learning tools have been developed to address…
Descriptors: Constructivism (Learning), Visual Learning, Visual Aids, Visualization