Adoption Dynamics of Applied English Over Translation-Based English Among Engineering Students

This study investigates the factors influencing the adoption of Applied English over Translation-Based English among engineering students using a predictive analytical framework. Drawing data from multiple dimensions such as practical usage, communication confidence, peer influence, and digital engagement, the study employs ANOVA, regression analysis, and SVM classification to identify key determinants. Findings reveal that attributes like relevance to engineering practice, digital learning exposure, confidence in presentations, and industry readiness significantly contribute to students' preference for Applied English. Moreover, variables such as peer collaboration and institutional encouragement further reinforce this shift. The results emphasize a clear departure from traditional grammar-translation methods towards functional, industry-aligned English learning. These insights have important implications for curriculum designers, language instructors, and policy makers in aligning language education with technical and professional competencies.