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Showing all 12 results Save | Export
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Stephanie Yang; Miles Baird; Eleanor O’Rourke; Karen Brennan; Bertrand Schneider – ACM Transactions on Computing Education, 2024
Students learning computer science frequently struggle with debugging errors in their code. These struggles can have significant downstream effects--negatively influencing how students assess their programming ability and contributing to their decision to drop out of CS courses. However, debugging instruction is often an overlooked topic, and…
Descriptors: Computer Science Education, Troubleshooting, Programming, Teaching Methods
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Pan, Zexuan; Cui, Ying; Leighton, Jacqueline P.; Cutumisu, Maria – Applied Cognitive Psychology, 2023
This systematic review examines 35 empirical studies featuring the use of think-aloud interviews in computational thinking (CT) research. Findings show that think-aloud interviews (1) are typically conducted in Computer Science classrooms and with K-12 students; (2) are usually combined with other exploratory CT assessment tools; (3) have the…
Descriptors: Computation, Thinking Skills, Protocol Analysis, Literature Reviews
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Liu, Ruohan; Luo, Feiya; Israel, Maya – Journal of Educational Computing Research, 2023
Technology has become an integral part of teaching and learning, but there is still limited understanding of how it is utilized to support computing education in early childhood. To address this knowledge gap, this review investigated the current implementation of computing technologies in early childhood settings, the implementation of computing…
Descriptors: Technology Integration, Computer Science Education, Literature Reviews, Learning Activities
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Darejeh, Ali; Mashayekh, Sara; Marcus, Nadine – Cogent Education, 2022
E-learning systems, which are used for teaching complex software, can facilitate learning if they provide an appropriate teaching approach that decreases learners' cognitive load in addition to providing practical knowledge. We believe there is lack of cognitively guided educational recommendations on how to effectively and efficiently design such…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Computer Science Education
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Francesco C. Ugolini; Panagiotis Kakavas – Research on Education and Media, 2024
This study consists of a 17-year (2006-2021) systematic literature review on the effective instructional strategies for developing Computational Thinking (CT) in primary school students (K-5). The aim of this paper is to identify instructional strategies that have been implemented and evaluated by means of a pre- and post-test, with the aim of…
Descriptors: Teaching Methods, Computer Science Education, Kindergarten, Elementary School Students
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Kallia, Maria; van Borkulo, Sylvia Patricia; Drijvers, Paul; Barendsen, Erik; Tolboom, Jos – Research in Mathematics Education, 2021
Recently, computational thinking (CT) has attracted much research attention, especially within primary and secondary education settings. However, incorporating in mathematics or other disciplines is not a straightforward process and introduces many challenges concerning the way disciplines are organised and taught in school. The aim of this paper…
Descriptors: Delphi Technique, Mathematics Education, Thinking Skills, Elementary Secondary Education
Molnar, Andrew R. – Educational Technology, 1981
Offers an overview of issues pertaining to societal readiness to cope with the information explosion. The need for computer literacy, an examination of computers in education, and the role of the National Science Foundation in computer literacy programs are discussed. (MER)
Descriptors: Bibliographies, Cognitive Processes, Computer Oriented Programs, Computer Science Education
Mayer, Richard E. – 1980
A review of the research on techniques for increasing the novice's understanding of computers and computer programming, this paper considers the potential usefulness of five tentative recommendations pertinent to the design of computer literacy curricula: (1) provide the learner with a concrete model of the computer; (2) encourage the learner to…
Descriptors: Calculators, Cognitive Processes, Computer Science Education, Learning Processes
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Goodyear, Peter – Journal of Computer Assisted Learning, 1987
Examines the cognitive effects of learning to program versus programming as it is experienced in introductory classes. Research studies that have analyzed the cognitive demands of programming are reviewed and criticized, problems of transfer of programming skills are discussed, and 42 references are provided. (LRW)
Descriptors: Cognitive Processes, Computer Science Education, Introductory Courses, Learning Strategies
Pea, Roy D.; Kurland, D. Midian – 1983
This report explores the complex agenda of issues, promise, and problems that building a developmental science of programming entails and emphasizes the need to highlight different types of programming and programmers, the different cognitive subtasks involved in programming, and the social character of many programming efforts. An introduction…
Descriptors: Aptitude, Aptitude Tests, Cognitive Processes, Computer Science Education
Pea, Roy D.; And Others – Focus on Learning Problems in Mathematics, 1987
An overall schema of interpretation for programming instructors is given, so that the misconceptions students develop in programming can be determined more readily. Types of language-independent and -dependent bugs, how they can be identified, and how to help students overcome them are addressed. (MNS)
Descriptors: Cognitive Processes, Computer Oriented Programs, Computer Science Education, Error Patterns
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Stine, Walter D.; Wildemuth, Barbara M. – Journal of Education for Library and Information Science, 1992
Research in human computer interaction and instructional design can provide insights into effective methods for training microcomputer users. Suggestions include utilizing error recognition and recovery, development of mental models, simplification of documentation, and using cognitive approaches that allow transfer of knowledge to new situations.…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Computer Science Education, Experiential Learning