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Gal-Ezer, Judith; Trakhtenbrot, Mark – Computer Science Education, 2016
Reduction is one of the key techniques used for problem-solving in computer science. In particular, in the theory of computation and complexity (TCC), mapping and polynomial reductions are used for analysis of decidability and computational complexity of problems, including the core concept of NP-completeness. Reduction is a highly abstract…
Descriptors: Computer Science Education, Problem Solving, Computation, Difficulty Level
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Armoni, Michal; Gal-Ezer, Judith – Computer Science Education, 2007
Non-determinism is one of the most important, yet abstract, recurring concepts of Computer Science. It plays an important role in Computer Science areas such as formal language theory, computability theory, distributed computing, and operating systems. We conducted a series of studies on the perception of non-determinism. In the current research,…
Descriptors: Computer Science, Scientific Concepts, Computer Science Education, Abstract Reasoning
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Armoni, Michal; Gal-Ezer, Judith; Hazzan, Orit – Computer Science Education, 2006
This paper discusses the role of reduction in computer science and describes a study on undergraduate students' perception of the concept of reduction. Specifically, based on an analysis of students answers to questions addressing different computer science topics, we present several findings regarding the ways in which undergraduate students…
Descriptors: Computer Science Education, Undergraduate Students, Student Attitudes, Computer Science
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Armoni, Michal; Gal-Ezer, Judith; Tirosh, Dina – Journal of Educational Computing Research, 2005
Solving problems by reduction is an important issue in mathematics and science education in general (both in high school and in college or university) and particularly in computer science education. Developing reductive thinking patterns is an important goal in any scientific discipline, yet reduction is not an easy subject to cope with. Still,…
Descriptors: High Schools, Foreign Countries, Secondary School Curriculum, Science Education
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Gal-Ezer, Judith; Lichtenstein, Orna – Mathematics and Computer Education, 1997
Shows by means of a mathematical example how algorithmic thinking and mathematical thinking complement each other. An algorithmic approach can lead to questions that deepen the understanding of mathematics material. (DDR)
Descriptors: Algorithms, Case Studies, Cognitive Processes, Computer Science Education