A career-competence-oriented digitally stratified resource library for vocational bachelor English is constructed and applied

Abstract

The core challenge of vocational bachelor English teaching lies in the transformation from general language knowledge to vocational context application ability. Based on the career-competence cultivation orientation, this study constructs a theoretical framework and an application system for a digitally stratified resource library. By deconstructing career-competence-based teaching objectives, establishing a mapping mechanism between resource stratification and cognitive characteristics, and constructing a career-scene-driven competence transformation model, this study lays the theoretical foundation for resource library construction. Using semantic network technology to achieve fine-grained resource classification and multi-dimensional indexing, designing a progressively hierarchical module architecture and adaptive combination logic, and constructing interactive learning scenarios based on embodied cognition theory, this study forms the structural design and content organization scheme of the resource library. Furthermore, this study constructs an operation mechanism that includes dynamic diagnosis based on learner profiles, adaptive adjustment of learning paths, and multi-dimensional verification of career-competence achievement, thereby providing a systematic theoretical framework and implementation path for the digital resource construction of vocational bachelor English teaching.