ID | 41796 |
FullText URL | |
Author |
Fujii, Taichi
Yamauchi, Yukiko
Kakugawa, Hirotsugu
Masuzawa, Toshimitsu
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Abstract | In this paper, we present a learning support system DASE-E to help students understand fundamental concepts of distributed algorithms in computer science. DASE-E is a collaborative learning system, in which the task of students is
to devise a distributed algorithm. DASE-E offers a set of small wireless terminals with accelerometers. Each student plays the role of a process with a terminal, according to the algorithm that students devised. Each terminal enables a student to take physical actions that control the behavior of a process in the simulator. After the role playing simulation is finished, students discuss their activity played back on a screen. We implemented the system for learning distributed leader election algorithms, had a trial exercise in our research group, and we confirmed that it is effective to learn the critical part of distributed systems and algorithms.
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Keywords | computer science education
distributed algorithm
collaborative learning
kinesthetic learning activity
algorithm visualization
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Note | Print ISBN : 978-1-4244-6367-1
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Published Date | 2010-07-29
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Publication Title |
2010 2nd International Conference on Education Technology and Computer (ICETC)
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Volume | volume2
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Publisher | IEEE
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Start Page | 97
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End Page | 101
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Content Type |
Conference Paper
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Official Url | http://dx.doi.org/10.1109/ICETC.2010.5529425
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language |
English
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Copyright Holders | © 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Event Title | 2010 2nd International Conference on Education Technology and Computer (ICETC)
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Event Location | Shanghai
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Event Dates | 2010-06-22 - 2010-06-24
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File Version | author
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Refereed |
True
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DOI |