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Gogolla, Martin; Stevens, Perdita – Computer Science Education, 2018
Teaching modeling in computer science is complicated. Many factors contribute, and are related in diverse ways. We regard some combinations as more successful than others, but we also value diversity, and we struggle to elucidate the relationships and our value structure. Similar remarks apply to the study of biological ecosystems. This…
Descriptors: Computer Science Education, Ecology, Teaching Methods, Logical Thinking
Basu, Satabdi; Rutstein, Daisy W.; Xu, Yuning; Wang, Haiwen; Shear, Linda – Computer Science Education, 2021
Background and Context: In today's increasingly digital world, it is critical that all students learn to think computationally from an early age. Assessments of Computational Thinking (CT) are essential for capturing information about student learning and challenges. When programming is used as a vehicle to foster CT skills, assessment of CT…
Descriptors: Computer Science Education, Programming, Thinking Skills, Logical Thinking
Armoni, Michal; Ginat, David – Computer Science Education, 2008
Reversing is the notion of thinking or working in reverse. Computer science textbooks and tutors recognize it primarily in the form of recursion. However, recursion is only one form of reversing. Reversing appears in the computer science curriculum in many other forms, at various intellectual levels, in a variety of fundamental courses. As such,…
Descriptors: Computer Science Education, Problem Solving, Computer Science, Models
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
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
Stanley, Timothy D.; Wong, Lap Kei; Prigmore, Daniel; Benson, Justin; Fishler, Nathan; Fife, Leslie; Colton, Don – Computer Science Education, 2007
Students learn better when they both hear and do. In computer architecture courses "doing" can be difficult in small schools without hardware laboratories hosted by computer engineering, electrical engineering, or similar departments. Software solutions exist. Our success with George Mills' Multimedia Logic (MML) is the focus of this paper. MML…
Descriptors: Undergraduate Students, Computer Software, Computer Science Education, Student Projects
Haberman, Bruria – Computer Science Education, 2004
Recursion is a central concept in computer science, yet it is difficult for beginners to comprehend. Israeli high-school students learn recursion in the framework of a special modular program in computer science (Gal-Ezer & Harel, 1999). Some of them are introduced to the concept of recursion in two different paradigms: the procedural…
Descriptors: Foreign Countries, Models, Knowledge Representation, Logical Thinking
Scharff, Christelle; Brown, Harold – Computer Science Education, 2004
A novel approach to improving instruction in an introductory computing course for freshmen non-computer-science majors is to couple it with a logic course as part of a Learning Community. Research has shown that effective Learning Communities can lead to higher academic achievement, better retention rates, diminished faculty isolation, and…
Descriptors: Computer Science Education, Logical Thinking, Instructional Improvement, Instructional Effectiveness