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<p>Innovative English teaching resources will inevitably result from the use of media technology in the classroom. This article will examine the new approach to teaching English in college from the standpoint of teaching resources. In order to establish a new mode of English teaching in higher education institutions based on personalized recommendation of teaching resources, this paper proposes two recommendation algorithms: one is content-based, and the other is collaborative filtering. The algorithm is enhanced by combining it with the design of multimedia English teaching resources. The influence of hit rate and MAE values prior to and following the cooperative filtering recommendation method is examined. The distinction between the pre-and post-test results of the experimental and control courses is analyzed and compared to conclude the examination of the impact of the novel model of teaching college English. The analysis indicates that the improved recommendation algorithm has a 4.85% higher hit rate than the traditional collaborative filtering algorithm. The improved recommendation algorithm is more accurate than the traditional recommendation algorithm, as suggested by this.</p>
</abstract>

Innovative English teaching resources will inevitably result from the use of media technology in the classroom. This article will examine the new approach to teaching English in college from the standpoint of teaching resources. In order to establish a new mode of English teaching in higher education institutions based on personalized recommendation of teaching resources, this paper proposes two recommendation algorithms: one is content-based, and the other is collaborative filtering. The algorithm is enhanced by combining it with the design of multimedia English teaching resources. The influence of hit rate and MAE values prior to and following the cooperative filtering recommendation method is examined. The distinction between the pre-and post-test results of the experimental and control courses is analyzed and compared to conclude the examination of the impact of the novel model of teaching college English. The analysis indicates that the improved recommendation algorithm has a 4.85% higher hit rate than the traditional collaborative filtering algorithm. The improved recommendation algorithm is more accurate than the traditional recommendation algorithm, as suggested by this.

The Application of Digital Multimedia Technology in the Innovative Mode of English Teaching in institutions of higher education

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Innovative English teaching resources will inevitably result from the use of media technology in the classroom. This article will examine the new approach to...

The Application of Digital Multimedia Technology in the Innovative Mode of English Teaching in institutions of higher education

Published Online: Dec 02, 2023

Page range: -

Received: Feb 06, 2023

Accepted: Jun 12, 2023

DOI: https://doi.org/10.2478/amns.2023.2.01334

Keywords
Multimedia technology, Collaborative filtering algorithm, MAE value, Recommendation algorithm, College English teaching

© 2023 Yun Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Application of Digital Multimedia Technology in the Innovative Mode of English Teaching in institutions of higher education

Published Online: Dec 02, 2023

Page range: -

Received: Feb 06, 2023

Accepted: Jun 12, 2023

DOI: https://doi.org/10.2478/amns.2023.2.01334

KeywordsMultimedia technology, Collaborative filtering algorithm, MAE value, Recommendation algorithm, College English teaching

© 2023 Yun Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Multimedia technology, Collaborative filtering algorithm, MAE value, Recommendation algorithm, College English teaching