Title: A model of foreign language listening ability assessment assisted by mobile devices based on neural network

Authors: Jing Qiu

Addresses: Applied Science College, Jiangxi University of Science and Technology, Ganzhou 341000, China

Abstract: In order to overcome the inaccuracy of foreign language listening assessment and the limitations of the assessment process, a model of foreign language listening ability assessment assisted by mobile devices based on neural network is proposed. Aiming at the characteristics of mobile devices, this paper applies artificial intelligence technology to foreign language listening ability assessment, and mining relevant data. BP network learning ability, nonlinear processing ability and fault tolerance ability are set as the assessment indicators of foreign language listening ability. A model of foreign language listening ability assessment assisted by mobile devices based on neural network is established, and the intelligent assessment of foreign language listening ability is realised through the model. The simulation results show that the proposed method can quickly and accurately evaluate the user's foreign language listening ability.

Keywords: neural network; mobile device assistance; foreign language listening ability; intelligent assessment; fault tolerance ability.

DOI: 10.1504/IJCEELL.2021.114359

International Journal of Continuing Engineering Education and Life-Long Learning, 2021 Vol.31 No.2, pp.170 - 184

Received: 30 Jul 2019
Accepted: 29 Sep 2019
Published online: 20 Apr 2021 *

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