Title: Modelling and analysis of innovative path of English teaching mode under the background of big data

Authors: Kanmanli Maimaiti

Addresses: Department of Basic Courses, Xinjiang Institute of Engineering, Urumqi, Xinjiang, 830091, China

Abstract: In order to improve the efficiency of the best way to choose innovative English teaching mode, this paper proposes an innovative path model of English teaching mode based on ant colony algorithm. The innovation strategy of English teaching mode is analysed, then the influence index of English teaching mode is analysed, the weight of index is calculated, and the objective function is constructed according to the influence index of English teaching mode. On this basis, the ant colony algorithm is used to find the best path of English teaching mode innovation and the modelling and analysis of English teaching mode innovation path is completed under the background of big data. The experimental results show that the proposed method has higher efficiency in selecting the best path, and the time for searching for the optimal path is shorter, which has a good convergence speed.

Keywords: big data background; English teaching; model innovation; path; modelling.

DOI: 10.1504/IJCEELL.2019.102770

International Journal of Continuing Engineering Education and Life-Long Learning, 2019 Vol.29 No.4, pp.306 - 320

Received: 27 Nov 2018
Accepted: 28 Jan 2019
Published online: 02 Oct 2019 *

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