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Title: Research on the teaching mode of university virtual laboratory based on component technology

Authors: Shuling He; Dejiang Kong; Jingjun Yang; Lingfa Ma; Yuwei Chang

Addresses: College of Biology and Bromatology, Guangxi Normal University for Nationalities, Chongzuo 532200, China ' College of Water Conservancy and Civil Engineering, Tibet Agriculture and Husbandy University, Linzhi 710048, China ' College of Biology and Bromatology, Guangxi Normal University for Nationalities, Chongzuo 532200, China ' College of Biology and Bromatology, Guangxi Normal University for Nationalities, Chongzuo 532200, China ' College of Biology and Bromatology, Guangxi Normal University for Nationalities, Chongzuo 532200, China

Abstract: In order to overcome the problems of low flexibility, low efficiency and non-reusability of laboratory teaching mode, a research method of university virtual laboratory teaching mode based on component technology is proposed. This method is composed of platform architecture module, platform operation module, routine project detection module and platform component module. Through the platform operation module scheduling module components to complete the experimental process; the components needed in the experimental process are detected, so that students can get more accurate experimental process and experimental results. By extracting the internal information of bean component, controlling and managing the dynamic results of the component after execution; using the component technology in swing graphics toolkit to realise the experiment process and result visualisation. The experimental results show that it can improve the utilisation rate of students' spare time, and the experimental practice ability can be improved by more than 15 points.

Keywords: component technology; virtual laboratory; teaching mode; software development; visualisation.

DOI: 10.1504/IJCEELL.2021.10035893

International Journal of Continuing Engineering Education and Life-Long Learning, 2022 Vol.32 No.1, pp.94 - 110

Received: 24 Oct 2019
Accepted: 05 Mar 2020

Published online: 01 Mar 2022 *

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