Designing A Distance Learning System for English Reading by Applying Multimodal Discourse Analysis Theory

Abstract

Multimodal Discourse Analysis (MDA) theory is a comprehensive framework that examines communication beyond just language, considering various modes of expression such as images, sounds, gestures, and typography. This theory recognizes that communication is inherently multimodal, and meaning is conveyed through the interplay of different modes. MDA analyzes how these modes interact within texts and contexts to create meaning, emphasizing the importance of visual, auditory, and spatial elements alongside linguistic features. By examining multimodal texts, MDA provides insights into how meaning is constructed, negotiated, and understood in diverse communicative contexts, from advertising campaigns to political speeches. This paper proposes the design of a distance learning system for English reading by applying Multimodal Discourse Analysis (MDA) theory, augmented with Distance Vector Space Coordinate Classification (DVS-CC). The system aims to provide an immersive and interactive learning experience by integrating various modes of communication, including text, images, audio, and video. Through simulated experiments and empirical validations, the effectiveness of the DVS-CC-enhanced distance learning system is evaluated. Results demonstrate significant improvements in student engagement, comprehension, and learning outcomes compared to traditional distance learning approaches. For example, students using the DVS-CC-enhanced system achieved an average score increase of 25% in reading proficiency assessments. Additionally, the system's adaptive learning features enabled personalized instruction tailored to each student's learning style and pace. These findings underscore the potential of applying MDA theory with DVS-CC in designing effective distance learning systems for English reading, fostering enhanced learning experiences in remote educational settings.