Practical Exploration of Generative AI in Enhancing Speech Writing Instruction for Higher Vocational Education: A Case Study of Deepseek

Abstract

The ability to produce practical documents represents a crucial professional competency for high-calibre skilled professionals in today’s rapidly evolving workforce. Among various forms of professional writing, speech writing holds particular significance, as it not only enhances communication skills but also strengthens students’ overall employability and core competitiveness. This paper investigates the current state of speech writing instruction in higher vocational education, focusing on four central dimensions: teaching objectives, curricular content, pedagogical approaches, and assessment methods. Additionally, it examines the potential of integrating generative AI technologies to enhance teaching effectiveness and student engagement. By employing DeepSeek as a primary technological tool, the paper proposes a framework for human-computer collaborative instruction, detailing strategies designed to help students develop lifelong learning habits, simulate authentic professional writing scenarios, construct structured critical thinking frameworks, and receive personalized assessment feedback. Ultimately, this approach aims to optimize instructional efficiency, enhance learning outcomes, and equip students with the practical speech-writing skills necessary to succeed across diverse professional contexts.