Title: Construction of a sharing model for network digital teaching resources oriented to big data

Authors: Lin Chen; Tianming Feng; Dahang Fan

Addresses: Department of Academic Affairs, Hebei GEO University, Shijiazhuang, 050031, China ' Department of Academic Affairs, Hebei GEO University, Shijiazhuang, 050031, China ' Modern Education Technology Center, Hebei GEO University, Shijiazhuang, 050031, China

Abstract: Aiming at the problems of low resource utilisation rate, low model reliability and poor feasibility of current network resource sharing model, this paper proposes and constructs a sharing model for network digital teaching resource based on semantic web. The game model is used to analyse the behaviour evolution of teaching resource sharing model. Based on ontology relationship, a general framework of metadata for teaching resources is constructed to realise interoperability between metadata. Taking XML as the basic grammar, according to the details of the application of teaching resources, the related application based on XML is created, and the sharing of network digital teaching resources is realised by defining the pattern layer by layer. The experimental results show that the utilisation rate of teaching resources under this model is high, and the fitting degree between the model and the actual situation is high.

Keywords: big data; digital teaching; resource sharing.

DOI: 10.1504/IJCEELL.2020.106343

International Journal of Continuing Engineering Education and Life-Long Learning, 2020 Vol.30 No.2, pp.190 - 203

Received: 25 Mar 2019
Accepted: 03 Jun 2019

Published online: 02 Apr 2020 *

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