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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
Stanisavljevic, Zarko; Stanisavljevic, Jelena; Vuletic, Pavle; Jovanovic, Zoran – IEEE Transactions on Learning Technologies, 2014
Educational software systems have an increasingly significant presence in engineering sciences. They aim to improve students' attitudes and knowledge acquisition typically through visual representation and simulation of complex algorithms and mechanisms or hardware systems that are often not available to the educational institutions. This paper…
Descriptors: Technology, Mathematics, Visual Aids, Computer Software
Velazquez-Iturbide, J. A.; Debdi, O.; Esteban-Sanchez, N.; Pizarro, C. – IEEE Transactions on Learning Technologies, 2013
Several years ago we presented an experimental, discovery-learning approach to the active learning of greedy algorithms. This paper presents GreedEx, a visualization tool developed to support this didactic method. The paper states the design goals of GreedEx, makes explicit the major design decisions adopted, and describes its main characteristics…
Descriptors: Computer Science Education, Visual Aids, Mathematics, Experiments