A kinesthetic-based collaborative learning system for distributed algorithms
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.
computer science education distributed algorithm collaborative learning kinesthetic learning activity algorithm visualization
Hiroyuki Nagataki Taichi Fujii Yukiko Yamauchi Hirotsugu Kakugawa Toshimitsu Masuzawa
Center for Faculty Development, Okayama University, Okayama, Japan Graduate School of Information Science and Technology, Osaka University, Osaka, Japan Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan
国际会议
上海
英文
97-101
2010-06-22（万方平台首次上网日期，不代表论文的发表时间）