INTEGRATING SAMR MODEL WITH AI-DRIVEN E-LEARNING IN ACADEMIC ENGLISH: A UNIFIED FRAMEWORK FOR ONLINE AND OFFLINE COURSES

This study integrates the SAMR model (Substitution, Augmentation, Modification, Redefinition) with AI-driven e-learning to develop a unified online-offline academic English framework for mechanical engineering students in China’s new engineering education context. Specific AI applications include: substitution-level AI grammar checkers and vocabulary apps, augmentation-level adaptive algorithms delivering real-time feedback, modification-phase automated essay scoring and speech recognition for multidimensional assessment redesign, and redefinition-stage AI-generated VR simulations for immersive language practice. Using a mixed-methods approach—pre/post-tests, technology fluency evaluations, and focus groups—the research demonstrates that this framework significantly enhances students’ academic English proficiency, critical thinking, and interdisciplinary communication skills. Results confirm substantial gains in engagement and satisfaction, highlighting AI’s transformative role in redefining pedagogical paradigms for engineering education.