Journal of International Education and Practice

Abstract: Student inattention in classrooms negatively impacts learning outcomes and academic performance, posing a significant challenge for educators. Traditional methods of monitoring engagement rely on subjective teacher observations, which can be inconsistent, labor-intensive, and prone to bias. To address these limitations, this paper presents an AI-driven framework that uses deep learning and behavioral analysis to detect... More

Abstract: This study responds to the growing pedagogical interest in optimizing communicative competence within English as a Second Language (ESL) classroom interaction by investigating a critical, yet under-explored, domain, the interactional trouble sources that initiate conversation breakdown. Grounded in a Conversation Analytical (CA) framework, the research methodology utilizes a hybrid approach: CA modeling for the micro-analysis... More