Title: Analysis and application of knowledge points in English network course teaching by using PageRank

Authors: Lianmei Deng

Addresses: Department of Economics and Trade, Chongqing College of Finance and Economics, Chongqing, 402160, China

Abstract: The research uses PageRank algorithm to calculate the R value of English network teaching knowledge points, and analyses its changes through experiments to give the focus of teaching knowledge points. The results show that learners' enthusiasm for learning English online courses fluctuates significantly, and their final scores are affected by the number of days of study, with the highest pass rate reaching 76.6%. Learners hit the most at the beginning of learning English, which decreased over time, up to 8,650 times. At the same time, the accuracy and recall of PageRank algorithm in knowledge point analysis are at a high level, with the accuracy reaching 88.1%. Using PageRank algorithm to calculate the R value of knowledge points can enable teachers to adjust teaching methods and strategies according to their changes, and learners can also master the learning focus, which is highly practical in the analysis of knowledge points.

Keywords: PageRank algorithm; network course teaching; knowledge point analysis; theoretical support.

DOI: 10.1504/IJNVO.2023.133875

International Journal of Networking and Virtual Organisations, 2023 Vol.28 No.2/3/4, pp.415 - 429

Received: 20 Dec 2022
Accepted: 12 Jun 2023
Published online: 04 Oct 2023 *

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