Title: Design of virtual education experiment platform based on artificial intelligence

Authors: Minglei Song; Binghua Wu; Lihua Liu

Addresses: School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan, 467000, China ' School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan, 467000, China ' School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan, 467000, China

Abstract: In order to solve the problem that the digital image processing of traditional virtual education experiment platform is time-consuming and the evaluation result of the platform does not match the actual result, the design method of virtual education experiment platform based on artificial intelligence is proposed. This paper introduces the general framework of virtual education experiment platform based on artificial intelligence, including remote registration, intelligent push of learning courses, establishment of teaching centre website by using artificial intelligence technology, etc. Based on the framework and heap code, the virtual education experiment platform is built by server and client calling service objects. The experimental results show that the accuracy of the proposed method is between 80% and 95%, the time-consuming is less than 0.02 μs, and the fitting range is between 80% and 100%. Compared with the methods based on 3D MAX, the proposed method has obvious advantages.

Keywords: artificial intelligence; virtual education; remote registration; digital image.

DOI: 10.1504/IJCEELL.2020.110914

International Journal of Continuing Engineering Education and Life-Long Learning, 2020 Vol.30 No.4, pp.381 - 397

Received: 18 Jun 2019
Accepted: 13 Aug 2019
Published online: 01 Nov 2020 *

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