IMPLEMENTATION STRATEGIES FOR INTEGRATING ARTIFICIAL INTELLIGENCE INTO APPLIED WRITING IN HIGHER VOCATIONAL EDUCATION
Author: Yingting Zhang
ABSTRACT
Grounded in the talent cultivation requirements of higher vocational colleges, this paper explores the practical significance and pedagogical approaches of integrating Artificial Intelligence (AI) technology into practical writing courses. Beginning with the national digital education strategy, the study highlights how AI facilitates the reconstruction of teaching paradigms and the expansion of educational functions within vocational writing curricula. Subsequently, utilizing “invitation letter writing” as a representative case study, this paper systematically analyzes students’ learning profiles, key and challenging teaching points, pedagogical objectives, and instructional strategies. It specifically demonstrates the classroom implementation process, which integrates task-driven methodology, situational simulation, and intelligent writing tools. Furthermore, the article reflects upon current practical challenges, including the superficial integration of professional contexts, teachers’ inadequate capacities for human-machine collaborative instruction, and the deficient development of curriculum resources. Consequently, it proposes directions for improvement within the framework of curriculum ideology and politics, suggesting the optimization of teaching teams, the refinement of online and offline blended teaching models, and the construction of diversified intelligent writing platforms. Finally, it emphasizes that implementing a scientific teaching evaluation system alongside continuous process tracking can effectively enhance students’ writing proficiency, technological literacy, and sense of professional responsibility, thereby realizing the synergistic development of knowledge, competencies, and values.
Keywords: Artificial Intelligence; Higher Vocational Education; Applied Writing;
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