Journal of Applied Science and Engineering

Published by Tamkang University Press

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Advancements in English Teaching: Integrating Digital Media and Machine Learning for Interactive Learning

 2026

 Volume 32

Hongli Niu

College of Foreign Language, Inner Mongolia University of Technology, Hohhot, 010050, China

Received: January 5, 2026
Accepted: March 22, 2026
Publication Date: May 21, 2026

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Integrating digital media and interactive learning has transformed English instruction, enhancing teaching and learner engagement. Limited resources hinder spoken proficiency, but advances in digital media and ML provide solutions. This study proposes an ML-based pronunciation model using Intelligent Honeybee Mating tuned FSVM (IHM-FSVM) in an online interactive framework. Students used multimedia instruction via apps, videos, and gamified exercises. Speech data were preprocessed with Wiener filtering and features extracted with MFCC. IHM-FSVM outperformed conventional methods, achieving 97.9% accuracy, 95.9% recall, 96.2% precision, and 96.5% F1-score, demonstrating its effectiveness in improving interactive English learning and pronunciation.

Keywords:  English Teaching; Digital Media; Interactive Learning; Intelligent Honeybee Mating tuned Flexible Support Vector Machine (IHM-FSVM)

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