Optimization of Cultivation Path of English Translation Talents in Colleges and Universities Based on ADDIE Model

Abstract

The integration of technology, practice, and theory in training English translation talent in higher education presents a significant challenge. This study applies the ADDIE model to refine this training pathway, aligning with contemporary developmental needs. Using AHP and CRITIC methods, we established a robust evaluation index for training English translation talent. A comprehensive survey involving students and faculty evaluated the training’s effectiveness using the TOPSIS method. Results indicated a notable increase in student satisfaction post-optimization, particularly among seniors, and intermediate-level faculty provided higher ratings. Graduates from 2022 reported an increase in average salary compared to their 2021 counterparts, with over 50% earning between 10k-15k, underscoring the enhanced quality and marketability of the training approach.

Keywords

• addie model
• quantitative analysis
• training path optimization
• employment competitiveness
• 65y04