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Judith Galezer; Smadar Szekely – Informatics in Education, 2024
Spark, one of the products offered by MyQ (formerly Plethora), is a game-based platform meticulously designed to introduce students to the foundational concepts of computer science. By navigating through logical challenges, users delve into topics like abstraction, loops, and graph patterns. Setting itself apart from its counterparts, Spark boasts…
Descriptors: Learning Management Systems, Game Based Learning, Computer Science Education, Teaching Methods
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Fowler, Megan; Hallstrom, Jason; Hollingsworth, Joseph; Kraemer, Eileen; Sitaraman, Murali; Sun, Yu-Shan; Wang, Jiadi; Washington, Gloria – Informatics in Education, 2021
Computer science students often evaluate the behavior of the code they write by running it on specific inputs and studying the outputs, and then apply their comprehension to a more general understanding of the code. While this is a good starting point in the student's career, successful graduates must be able to reason analytically about the code…
Descriptors: Computer Science Education, Coding, Computer Software, Abstract Reasoning
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Zhong, Baichang; Xia, Liying; Su, Siyu – Education and Information Technologies, 2022
One of the aspects of programming that novices often struggle with is the understanding of abstract concepts, such as variables, loops, expressions, and especially Boolean operations. This paper aims to explore the effects of programming tools with different degrees of embodiment on learning Boolean operations in elementary school. To this end, 67…
Descriptors: Programming Languages, Programming, Novices, Elementary Education
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Tan, Wee Lum; Venema, Sven – International Association for Development of the Information Society, 2019
One of the challenges that commencing university students in computing degree programs face is the difficulty in engaging with the abstract and complicated theories in the computing discipline. In particular, it is hard for beginner computer architecture students to visualise the link between the theory of digital logic and the behaviour of the…
Descriptors: Logical Thinking, Computer Science Education, Introductory Courses, Correlation
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Rowe, Elizabeth; Asbell-Clarke, Jodi; Almeda, Mia; Gasca, Santiago; Edwards, Teon; Bardar, Erin; Shute, Valerie; Ventura, Matthew – International Journal of Computer Science Education in Schools, 2021
The Inclusive Assessment of Computational Thinking (CT) designed for accessibility and learner variability was studied in over 50 classes in US schools (grades 3-8). The validation studies of IACT sampled thousands of students to establish IACT's construct and concurrent validity as well as test-retest reliability. IACT items for each CT practice…
Descriptors: Puzzles, Logical Thinking, Thinking Skills, Construct Validity
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Waite, Jane Lisa; Curzon, Paul; Marsh, William; Sentance, Sue; Hadwen-Bennett, Alex – Online Submission, 2018
Research indicates that understanding levels of abstraction (LOA) and being able to move between the levels is essential to programming success. For K-5 contexts we rename the LOA levels: problem, design, code and running the code. In our qualitative exploratory study, we interviewed five K-5 teachers on their uses of LOA, particularly the design…
Descriptors: Elementary School Teachers, Computer Science Education, Programming, Abstract Reasoning
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Kumar, R. Renjith – Journal of Education and Practice, 2017
The study of formal logic helps to improve the process of thinking and tries to refine and improve the thinking ability. The objectives of this study are to know the effectiveness of formal logic course and to determine the critical thinking variables that are effective and that are ineffective. A sample of 214 students is selected from all the…
Descriptors: Critical Thinking, Thinking Skills, Skill Development, Pretests Posttests
Basawapatna, Ashok Ram – ProQuest LLC, 2012
Computational thinking aims to outline fundamental skills from computer science that everyone should learn. As currently defined, with help from the National Science Foundation (NSF), these skills include problem formulation, logically organizing data, automating solutions through algorithmic thinking, and representing data through abstraction.…
Descriptors: Computer Science Education, Computation, Thinking Skills, Logical Thinking
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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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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