Knowledge Recommendation Model of Business English Teaching Based on Intelligent Data Mining Technology

In order to ensure that the recommendation effect of business English teaching resources is targeted, a recommendation model of business English teaching resources is constructed, and an online teaching resource recommendation system for secondary vocational schools based on knowledge graph is designed and implemented, which can not only improve the accuracy and personalization level of resource recommendation, but also promote the effective use of educational resources. By mining students' behavior data and business English teaching resources data, this paper establishes a business English teaching resources recommendation model, and makes an empirical analysis. The experimental results show that this method can effectively improve the utilization efficiency of business English teaching resources and improve students' learning effect.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/iiotbdsc64371.2024.00050
Citations
1
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
0.35
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article

Knowledge Recommendation Model of Business English Teaching Based on Intelligent Data Mining Technology

Tingting Liang
1 citations
Educational Technology and Pedagogy
0.35
article

Knowledge Recommendation Model of Business English Teaching Based on Intelligent Data Mining Technology

Tingting Liang
article en
1 citations

Abstract

In order to ensure that the recommendation effect of business English teaching resources is targeted, a recommendation model of business English teaching resources is constructed, and an online teaching resource recommendation system for secondary vocational schools based on knowledge graph is designed and implemented, which can not only improve the accuracy and personalization level of resource recommendation, but also promote the effective use of educational resources. By mining students' behavior data and business English teaching resources data, this paper establishes a business English teaching resources recommendation model, and makes an empirical analysis. The experimental results show that this method can effectively improve the utilization efficiency of business English teaching resources and improve students' learning effect.

Industry, innovation and infrastructure
Openalex Percentile: Top 29%
Educational Technology and Pedagogy
0.35
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