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

IF 0.4 Q4 EDUCATION & EDUCATIONAL RESEARCH
Jingna Qiu
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引用次数: 0

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.
基于神经网络的移动设备辅助外语听力能力评估模型
为了克服外语听力评估的不准确性和评估过程的局限性,提出了一种基于神经网络的移动设备辅助外语听力能力评估模型。本文针对移动设备的特点,将人工智能技术应用于外语听力能力测评,并对相关数据进行挖掘。将BP网络学习能力、非线性处理能力和容错能力作为外语听力能力的评价指标。建立了基于神经网络的移动设备辅助外语听力能力评估模型,通过该模型实现了外语听力能力的智能评估。仿真结果表明,该方法能够快速准确地评估用户的外语听力能力。
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来源期刊
CiteScore
1.60
自引率
6.20%
发文量
65
期刊介绍: IJCEELL is the journal of continuing engineering education, lifelong learning and professional development for scientists, engineers and technologists. It deals with continuing education and the learning organisation, virtual laboratories, interactive knowledge media, new technologies for delivery of education and training, future developments in continuing engineering education; continuing engineering education and lifelong learning in the field of management, and government policies relating to continuing engineering education and lifelong learning.
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