Open Access Article

Title: Innovation of college English listening and speaking teaching model based on multimedia technology

Authors: Zhiguo Feng; Ciren Deji

Addresses: School of Humanities and Foreign Languages, Qingdao University of Technology, Qingdao, 266520, Shandong, China ' School of Foreign Languages, Xizang University, Lhasa, 850000, Xizang (Tibet), China

Abstract: With the improvement of the modern education system, multimedia technology is widely embedded in the classroom teaching of various subjects. Classroom teaching based on multimedia technology conveys relevant knowledge information to students through the use of text, images, sounds, and other media, reasonably selects modern learning media according to students' actual learning conditions, and adequately combines it with traditional classrooms, which can significantly enrich classroom teaching and help students understand and remember knowledge, and improve students' quality. At present, in teaching speaking and listening in English classes in colleges, the application of mobile information technology is relatively poor, resulting in the inability to make breakthroughs in the quality of English classroom teaching. To address this issue, this paper applied multimedia technology to the exploration of the innovation of college English listening and speaking education mode, and constructed a teaching environment under multimedia technology through big data technology. According to the trial's results, employing the multimedia technology-based teaching mode for college English speaking and listening could enhance instruction by 9.72% compared to the conventional mode. This allowed colleges and universities to offer higher-quality college English courses and enhance students' English language proficiency.

Keywords: English listening and speaking education; multimedia technology; big data; university English.

DOI: 10.1504/IJCEELL.2025.150075

International Journal of Continuing Engineering Education and Life-Long Learning, 2025 Vol.35 No.9, pp.1 - 15

Received: 20 Jan 2025
Accepted: 09 Jul 2025

Published online: 28 Nov 2025 *