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Sigal Levy; Yelena Stukalin; Nili Guttmann-Beck – Teaching Statistics: An International Journal for Teachers, 2024
Probability theory has extensive applications across various domains, such as statistics, computer science, and finance. In probability education, students are introduced to fundamental principles which may include mathematical topics such as combinatorics and symmetric sample spaces. Students pursuing degrees in computer science possess a robust…
Descriptors: Programming, Probability, Mathematics Skills, Computer Science Education
Basuhail, Abdullah – International Journal of Technology in Education, 2019
Problem solving techniques are one of the primary topics introduced to the computing and information technology students in tertiary education. In general, those techniques are presented using a collection of traditional tools, such as texts, graphs, illustrations, procedural steps, pseudocodes, algorithms, and flowcharts. In many cases, there is…
Descriptors: Electronic Learning, Programming, Problem Solving, Postsecondary Education
Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed.; Sampson, Demetrios G., Ed. – Cognition and Exploratory Learning in the Digital Age, 2022
This volume focuses on the implications of digital technologies for educators and educational decision makers that are not widely represented in the literature. The chapters contained in the volume are based on the presentations at the 2020 edition of the CELDA conference and cover multiple developments in the field such as deploying learning…
Descriptors: Educational Technology, Electronic Learning, Technology Integration, Teaching Methods
Peer reviewedColley, Ann; And Others – Computers in Human Behavior, 1996
This study examined 117 undergraduates' perceptions of ability at computer programming and word processing. In particular, it rated the importance of prior experience factors, keyboarding skills, and personal attributes such as enjoyment of problem solving. Those were discovered, in general, to be more important than formal training or aptitude in…
Descriptors: Aptitude, Cognitive Style, Comparative Analysis, Computer Attitudes

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