Title: IoT for smart English education: AI-based personalised learning resource recommendation algorithm

Authors: Fang Wang

Addresses: Huanghe Science and Technology University, Zhengzhou, Henan, China

Abstract: The development of smart English education provides talent support for national economic and social development, solves the difficult problems in current education and enhances national competence. At present, Internet of Things (IoT) is constant maturing of continuous development of information technology, providing a solid technical foundation for the development of smart English education. IoT mainly senses and collects data through multi-sensors, uses a variety of communication technologies to establish a network to realise the connection between things and things. Data collection through IoT is an important source of big data in English education. IoT is the basis for smart English education, learning, management and effective collection of educational data. Artificial intelligence analyses the learning resources collected by multi-sensors to make recommendation decisions. In this study, an attention-based deep collaborative learning resource recommendation model is proposed by integrating the attention mechanism into the learning resource recommendation algorithm.

Keywords: smart English education; IoT; AI; sensor; recommendation model.

DOI: 10.1504/IJCAT.2023.132093

International Journal of Computer Applications in Technology, 2023 Vol.71 No.3, pp.200 - 207

Received: 28 Feb 2022
Received in revised form: 30 Mar 2022
Accepted: 06 Apr 2022
Published online: 11 Jul 2023 *

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