Research on the Implementation of a Web-Based Effective Remote Experiment System in Distance Education

Chang Myong Ri, Nam Hyok Kim, Jin Hyok Kim and Kum Chol Jon
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Chang Myong Ri: Faculty of Distance Education, Kim Chaek University of Technology, 60-Kyogu, Yonggwang Street, Pyongyang, Democratic People's Republic of Korea
Nam Hyok Kim: Faculty of Distance Education, Kim Chaek University of Technology, 60-Kyogu, Yonggwang Street, Pyongyang, Democratic People's Republic of Korea
Jin Hyok Kim: Faculty of Distance Education, Kim Chaek University of Technology, 60-Kyogu, Yonggwang Street, Pyongyang, Democratic People's Republic of Korea
Kum Chol Jon: Faculty of Distance Education, Kim Chaek University of Technology, 60-Kyogu, Yonggwang Street, Pyongyang, Democratic People's Republic of Korea

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 26, 8476-8482

Abstract: In traditional face to face education, teachers can perform lessons and students do experiments under the teacher's guidance as reflected in the curriculum, but it is difficult for distance education students to perform experiments because of the inadequate conditions for conducting experiments in the curriculum, unlike traditional education. The remote experiment is highly effective because it is possible to conduct experiments while controlling experimental equipment through the network, overcoming the shortcomings of the past when students in distance education were difficult to conduct experiments without having experimental equipments. This paper proposes a solution to the problem of implementing a remote experiment system to provide an experiment that is an important teaching form for improving the practical abilities of students in distance education. In this paper, we have designed the flow of experiment in detail and built a real-time video conversation using WebRTC technology to provide instructor guidance and team interaction during the remote experiments, and we have described a method for implementing web-based experimental equipment control and monitoring without need of installing any software.

Date: 2025
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