Title: Design and application of a new massive open online training platform

Authors: Zhe Wang; Jingjing Li

Addresses: National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, 430079, China; School of Law and Economics, Wuhan University of Science and Technology, Wuhan, 430065, China; Hubei Research Center for Small and Medium-Sized Enterprises, Wuhan, 430065, China ' Hubei Institute of Water Resources Survey and Design, Wuhan, 430070, China

Abstract: Over the past decade, e-learning has been a tremendous success. Many MOOCs have been established around the world. A mounting number of college students study through MOOCs. But with the rapid development of cloud computing, big data and artificial intelligence technology, there is an increasing number of IT training requirements in colleges. The mode of traditional IT training can not match the needs of college students and teachers, such as fragmentation, anytime, anywhere, etc. IT training is more complex than e-learning, so it cannot simply copy the mode of e-learning. This article proposes a framework of a massive open online training platform based on Docker and cloud services, which overcomes the limitations of traditional training. It has the advantages of quickness, economy, efficiency and flexibility. It provides one-stop services for online learning, online training and online assessment for college students. The application results of Shuishan online show that the proposed framework is reliable and excellent.

Keywords: e-learning; massive open online training platform; MOOTP; online training; cloud services; Docker.

DOI: 10.1504/IJBIDM.2024.139431

International Journal of Business Intelligence and Data Mining, 2024 Vol.25 No.1, pp.52 - 64

Received: 10 Aug 2022
Accepted: 05 Jan 2023
Published online: 02 Jul 2024 *

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