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Creating Engaging Online Learning Material with the JSAV JavaScript Algorithm Visualization Library
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Karavirta, Ville; Shaffer, Clifford A. – IEEE Transactions on Learning Technologies, 2016
Data Structures and Algorithms are a central part of Computer Science. Due to their abstract and dynamic nature, they are a difficult topic to learn for many students. To alleviate these learning difficulties, instructors have turned to algorithm visualizations (AV) and AV systems. Research has shown that especially engaging AVs can have an impact…
Descriptors: Electronic Learning, Computer Science, Animation, Mathematics
Adaptive Social Learning Based on Crowdsourcing
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Karataev, Evgeny; Zadorozhny, Vladimir – IEEE Transactions on Learning Technologies, 2017
Many techniques have been developed to enhance learning experience with computer technology. A particularly great influence of technology on learning came with the emergence of the web and adaptive educational hypermedia systems. While the web enables users to interact and collaborate with each other to create, organize, and share knowledge via…
Descriptors: Socialization, Social Networks, Electronic Publishing, Collaborative Writing
Expressing Adaptation Strategies Using Adaptation Patterns
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Zemirline, N.; Bourda, Y.; Reynaud, C. – IEEE Transactions on Learning Technologies, 2012
Today, there is a real challenge to enable personalized access to information. Several systems have been proposed to address this challenge including Adaptive Hypermedia Systems (AHSs). However, the specification of adaptation strategies remains a difficult task for creators of such systems. In this paper, we consider the problem of the definition…
Descriptors: Programming, Programming Languages, Computer Software, Access to Information