Development of collaborative learning support system that can operate stably on unstable environment and its practical use in Nepal

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K12104
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 62030:Learning support system-related
• Research Institution: Muroran Institute of Technology
• Principal Investigator: Sato Kazuhiko 室蘭工業大学, 大学院工学研究科, 准教授 (90344548)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: 協調型学習支援システム / eラーニングシステム / 不安定ネットワーク / 発展途上国 / 教育工学

Outline of Final Research Achievements

In this research, we developed a collaborative learning support system that can operate stably even in an unstable network environment. By duplicating the database sharing layer with multiple clusters and the RDBMS used by the learning support system and having it in the school unit, content can be shared between units when the network is active, but the network is off. The system was realized as a system that can maintain the operation of each school system. Due to the corona disaster, maintenance became impossible for two years, and the vulnerability of the unit to damage due to deterioration over time was revealed. It became clear that physical improvements are necessary in the future for long-term operation in regions with poor environmental conditions.

Free Research Field

教育工学

Academic Significance and Societal Importance of the Research Achievements

地域による教育格差の解消にeラーニングは非常に有効であるが、これらは高速で安定したネットワークを前提としており、発展途上国の過疎地域は安定したネットワーク環境が未整備でeラーニングの恩恵が得られない。これに対し、本研究は不安定なネットワーク環境でも安定稼働する基盤を実現し、それに基づいた学習支援システムを開発した。この技術によってこれまで導入が難しかった過疎地域に適切にeラーニング環境を適用でき、地域による教育格差の解消に貢献できると考える。