IEEE Acta Medica Okayama 2 2010 A kinesthetic-based collaborative learning system for distributed algorithms 97 101 EN Hiroyuki Nagataki Taichi Fujii Yukiko Yamauchi Hirotsugu Kakugawa Toshimitsu Masuzawa 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. No potential conflict of interest relevant to this article was reported.