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Juraj Hromkovic; Regula Lacher – Informatics in Education, 2025
The design of algorithms is one of the hardest topics of high school computer science. This is mainly due to the universality of algorithms as solution methods that guarantee the calculation of a correct solution for all potentially infinitely many instances of an algorithmic problem. The goal of this paper is to present a comprehensible and…
Descriptors: Algorithms, Computer Science Education, High School Students, Teaching Methods
Joyce Vogel; Dan Bouhnik – European Journal of Education, 2024
Introduction to Computer Science is traditionally the first course that all computer science and software engineering majors take. The course introduces many problem-solving techniques which can be challenging for many freshman students. In order to mitigate some of the issues of this course, we, at the Higher Education Institute, introduced a new…
Descriptors: Computer Science Education, Introductory Courses, Awards, Problem Based Learning
Sung, Euisuk – Technology and Engineering Teacher, 2019
Computational thinking has been popularized in the last decade, particularly with the emphasis on coding education in K-12 schools. The core idea of computational thinking has a close relationship with technology and engineering education (TEE). TEE has emphasized the use of computing skills to solve problems, and integrative STEM education…
Descriptors: Skill Development, Computation, STEM Education, Engineering
Drachova, Svetlana V.; Hallstrom, Jason O.; Hollingsworth, Joseph E.; Krone, Joan; Pak, Rich; Sitaraman, Murali – ACM Transactions on Computing Education, 2015
Undergraduate computer science students need to learn analytical reasoning skills to develop high-quality software and to understand why the software they develop works as specified. To accomplish this central educational objective, this article describes a systematic process of introducing reasoning skills into the curriculum and assessing how…
Descriptors: Undergraduate Students, Computer Science Education, Logical Thinking, Thinking Skills
Mauco, María Virginia; Ferrante, Enzo; Felice, Laura – Information Systems Education Journal, 2014
Basic courses on logic are common in most computer science curricula. Students often have difficulties in handling formalisms and getting familiar with them. Educational software helps to motivate and improve the teaching-learning processes. Therefore, incorporating these kinds of tools becomes important, because they contribute to gaining…
Descriptors: Computer Software, Computer Uses in Education, Logical Thinking, Introductory Courses
Mitri, Michel – Journal of Information Systems Education, 2012
XML has become the most ubiquitous format for exchange of data between applications running on the Internet. Most Web Services provide their information to clients in the form of XML. The ability to process complex XML documents in order to extract relevant information is becoming as important a skill for IS students to master as querying…
Descriptors: Computer Science Education, Databases, Internet, College Curriculum
Hendriks, Maxim; Kaliszyk, Cezary; van Raamsdonk, Femke; Wiedijk, Freek – Acta Didactica Napocensia, 2010
This article describes the system ProofWeb developed for teaching logic to undergraduate computer science students. The system is based on the higher order proof assistant Coq, and is made available to the students through an interactive web interface. Part of this system is a large database of logic problems. This database will also hold the…
Descriptors: Logical Thinking, Teaching Methods, Validity, Undergraduate Students
Herman, Geoffrey L.; Loui, Michael C.; Kaczmarczyk, Lisa; Zilles, Craig – ACM Transactions on Computing Education, 2012
The ability to reason with formal logic is a foundational skill for computer scientists and computer engineers that scaffolds the abilities to design, debug, and optimize. By interviewing students about their understanding of propositional logic and their ability to translate from English specifications to Boolean expressions, we characterized…
Descriptors: Interviews, Logical Thinking, Computer Science, Scientists
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
Foster, D. L. – IEEE Transactions on Education, 2012
For a basic foundation in computer engineering, universities traditionally teach synchronous sequential circuit design, using discrete gates or field programmable gate arrays, and a microcomputers course that includes basic I/O processing. These courses, though critical, expose students to only a small subset of tools. At co-op schools like…
Descriptors: Engineering Education, Computer Science Education, Programming, Computer Assisted Design
Parhami, B. – IEEE Transactions on Education, 2009
As in many other fields of science and technology, college students in computer engineering do not come into full contact with the key ideas and challenges of their chosen discipline until the third year of their studies. This situation poses a problem in terms of keeping the students motivated as they labor through their foundational, basic…
Descriptors: Student Motivation, College Freshmen, Engineering Education, Computer Science Education
Armoni, Michal; Gal-Ezer, Judith – Journal of Computers in Mathematics and Science Teaching, 2006
Nondeterminism is an essential concept in mathematics and one of the important concepts in computer science. It is also among the most abstract ones. Thus, many students find it difficult to cope with. In this article, we describe some didactic considerations, which guided the development of a "Computational Models" course for high school…
Descriptors: Computer Science, Student Attitudes, High School Students, Mathematical Concepts
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

Lopez, Antonio M., Jr. – Mathematics and Computer Education, 1989
Provides background material on logic programing and presents PROLOG as a high-level artificial intelligence programing language that borrows its basic constructs from logic. Suggests the language is one which will help the educator to achieve various goals, particularly the promotion of problem solving ability. (MVL)
Descriptors: Artificial Intelligence, College Science, Computer Science, Computer Science Education
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