Integrating SAMR and Vidnoz AI in ESP Classrooms

This study investigates the application of the SAMR framework in integrating Vidnoz AI, an advanced video-based learning tool, into English for Specific Purposes (ESP) instruction. Targeting 30 undergraduate English majors, this research examines how Vidnoz AI facilitates higher-order cognitive skills and enhances active student engagement. By systematically applying the SAMR model (Substitution, Augmentation, Modification, and Redefinition), this study assesses the platform’s effectiveness in improving ESP learners’ professional English proficiency within real-world contexts.

A mixed-methods approach is employed, incorporating quantitative surveys, qualitative interviews, and performance assessments. While technology-enhanced ESP learning has been widely discussed, prior research lacks a structured SAMR-based evaluation of AI-driven video platforms. This study addresses this gap by providing empirical evidence on how Vidnoz AI transforms ESP learning experiences at different SAMR stages.

Preliminary findings indicate that Vidnoz AI significantly enhances students’ analytical, synthesis, and presentation skills. This study provides practical insights for ESP educators, underscoring the strategic role of AI-powered learning tools in transforming traditional pedagogies. Furthermore, the research highlights the need for scalability and adaptation of AI-driven video learning in diverse ESP domains. These findings contribute to the growing body of research on AI integration in ESP education, offering a replicable model for leveraging digital tools to enhance ESP curriculum design and student engagement.