Applying Image and Video Processing in Non-English Majors' English Education: A Technology-Enhanced Learning Framework

Abstract

The integration of image and video processing techniques in English education has emerged as a promising strategy to enhance learning experiences, particularly for non-English majors. This paper presents a technology-enhanced learning framework that leverages multimedia content to foster more engaging, interactive, and effective English language acquisition. Traditional methods of language learning often face challenges such as lack of motivation and limited interaction, especially for non-English majors who may not have the same exposure to the language as their counterparts. By incorporating visual stimuli, such as images and videos, learners can better understand context, pronunciation, grammar, and vocabulary, which are essential for mastering a foreign language. In this framework, image and video processing are employed to create personalized, adaptive learning environments. Through the use of image recognition, object detection, and video analysis, educational content can be tailored to individual learning needs, ensuring that students receive materials that match their proficiency levels and interests. Additionally, this approach encourages active participation by allowing students to interact with the content in real-time, making learning more dynamic and stimulating. The paper also discusses the potential benefits of integrating this framework into both traditional classrooms and online learning platforms. For instance, video-based learning can simulate real-life scenarios, providing students with contextual experiences that help bridge the gap between theory and practice. Moreover, the use of visual cues and multimedia can aid in overcoming language barriers, making learning more accessible and enjoyable.