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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
Yasemin Allsop; Filiz Kalelioglu; Melike Aslan Unlu – International Journal of Computer Science Education in Schools, 2024
This study investigated the effectiveness of the 'Match it' card sorting activity for evaluating the student teachers' knowledge and understanding of computational thinking (CT) concepts. One hundred forty-six primary student teachers were asked to sort 26 scenarios and words alongside nine images under five main computational concepts:…
Descriptors: Preservice Teachers, Teacher Education Programs, Thinking Skills, Generalization
Soboleva, Elena V.; Suvorova, Tatyana N.; Zenkina, Svetlana V.; Bocharov, Mikhail I. – European Journal of Contemporary Education, 2021
The problem that the given paper aims to solve is associated with the need to resolve the contradiction between the requirements of the digital economy for a high level of computational thinking of specialists of the future and an insufficiently developed methodological base for training graduates that meets these requirements. The purpose of the…
Descriptors: Computer Games, Computer Science Education, Computer Software, Specialists
Sondakh, Debby Erce; Osman, Kamisah; Zainudin, Suhaila – European Journal of Educational Research, 2020
Studies have acknowledged computational thinking (CT) as an efficient approach for problem-solving particularly required in digital workplaces. This research aims to identify indicators for a holistic CT assessment instrument for undergraduate students. A three-round fuzzy Delphi study has been conducted to gain comprehensive opinions and…
Descriptors: Holistic Approach, Teamwork, Work Environment, Information Technology
Brinda, Torsten; Napierala, Stephan; Tobinski, David; Diethelm, Ira – Education and Information Technologies, 2019
The ability to categorize concepts is an essential capability for human thinking and action. On the one hand, the investigation of such abilities is the purview of psychology; on the other hand, subject-specific educational research is also of interest, as a number of research works in the field of science education show. For computer science…
Descriptors: Information Technology, Computer Science Education, Misconceptions, Student Attitudes
Becker, Brett A.; Glanville, Graham; Iwashima, Ricardo; McDonnell, Claire; Goslin, Kyle; Mooney, Catherine – Computer Science Education, 2016
Programming is an essential skill that many computing students are expected to master. However, programming can be difficult to learn. Successfully interpreting compiler error messages (CEMs) is crucial for correcting errors and progressing toward success in programming. Yet these messages are often difficult to understand and pose a barrier to…
Descriptors: Computer Science Education, Programming, Novices, Error Patterns
Saarela, Mirka; Karkkainen, Tommi – Journal of Educational Data Mining, 2015
Curricula for Computer Science (CS) degrees are characterized by the strong occupational orientation of the discipline. In the BSc degree structure, with clearly separate CS core studies, the learning skills for these and other required courses may vary a lot, which is shown in students' overall performance. To analyze this situation, we apply…
Descriptors: Data Analysis, Academic Achievement, Undergraduate Students, Core Curriculum
Zendler, A.; Spannagel, C.; Klaudt, D. – Computer Science Education, 2008
Computer science education should not be based on short-term developments but on content that is observable in multiple domains of computer science, may be taught at every intellectual level, will be relevant in the longer term, and is related to everyday language and/or thinking. Recently, a catalogue of "central concepts" for computer…
Descriptors: Computer Science Education, Multivariate Analysis, Computer Science, Problem Solving