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Fung, Tze-ho; Li, Wing-yi – Practical Assessment, Research & Evaluation, 2022
Rough set theory (RST) was proposed by Zdzistaw Pawlak (Pawlak,1982) as a methodology for data analysis using the notion of discernibility of objects based on their attribute values. The main advantage of using RST approach is that it does not need additional assumptions--like data distribution in statistical analysis. Besides, it provides…
Descriptors: Gifted, Metacognition, Learning Strategies, Programming Languages
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Wong, Gary Ka-Wai; Cheung, Ho-Yin – Interactive Learning Environments, 2020
The role of programming in computing education for children has grown rapidly in recent years with the proliferation of specially designed programming tools, which is grounded on Seymour Papert's theoretical work in Constructionism. Studies show that some children can develop computational thinking skills and practices with programming activities…
Descriptors: Elementary School Students, Student Attitudes, 21st Century Skills, Computation
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Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2020
These proceedings contain the papers of the 14th International Conference on e-Learning (EL 2020), which was organised by the International Association for Development of the Information Society, July 21-23, 2020. This conference is part of the 14th Multi Conference on Computer Science and Information Systems 2020, July 21-25, which had a total of…
Descriptors: Educational Technology, Electronic Learning, Blended Learning, Open Educational Resources
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Yuen, Allan H. K. – Educational Media International, 2006
Extensive studies have been conducted on programming knowledge, instructional environments and effective pedagogies in order to improve the teaching and learning of computer programming. However, there have been few studies on the usefulness and effectiveness of using simulation. The aim of this paper is two-fold: to describe the design and…
Descriptors: Programming, Computer Simulation, Teaching Methods, Learning Experience