Design of Personalised English Distance Teaching Platform Based on Artificial Intelligence

Yabin Huang ()
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Yabin Huang: Humanities and Social Sciences College, Heilongjiang Bayi Agricultural University, Daqing 163319, P. R. China

Journal of Information & Knowledge Management (JIKM), 2022, vol. 21, issue Supp02, 1-13

Abstract: In the application of the existing distance education platform, the server load is often unbalanced, which increases the response time of the platform. This paper designs a personalised English distance teaching platform based on artificial intelligence. Put forward the overall architecture of the platform, and design the platform on this basis. In order to realise the personalised course resource recommendation function, a collaborative filtering personalised recommendation algorithm is designed to get the best course recommendation results. Using artificial intelligence technology to set up multipoint control unit, the task balance is allocated to multiple operation units, and the reasonable allocation of curriculum resources is realised. According to the functional requirements of the platform design, the composition of functional modules is further set to realise the scheduling and management of curriculum resources. The experimental results show that, under the condition of the same number of concurrent users, the average response time of this design platform is less than that of the existing distance teaching platform, which shows that it has certain advantages in server load balancing and resource scheduling, which can improve the rapid response ability of the platform and enhance the stability of the platform.

Keywords: Artificial intelligence; individualization; English distance teaching; teaching platform design (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0219649222400172

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