Research on the Construction of AI-Empowered Task-Driven Digital Textbooks for Medical Engineering Majors in Higher Vocational Education
基于AI赋能的高职医工专业任务驱动型数字教材建设研究

摘要

随着教育数字化战略持续推进，高职医工类课程教材建设面临新的转型要求。传统教材在内容更新、设备 结构呈现和操作过程训练等方面存在诸多不足，难以适应医工专业技术更新快和实践要求高的特点。本文以医疗设 备组装与调试课程为例，围绕任务驱动型数字教材建设展开研究。课程团队以医疗设备安装调试和故障排查等岗位 任务为主线，重构任务单元、技能目标和知识支撑相结合的教材内容体系，形成任务导入、知识学习、操作训练和 评价反馈的学习结构。同时，依托智能评价反馈机制，为学生提供差异化学习支持，为教师开展学情诊断和过程性 评价提供依据。AI赋能数字教材有助于改善传统教材静态、单一和反馈滞后的问题，可为高职医工类专业课程数字 化建设提供参考。

Abstract

With the continuous advancement of the education digitalization strategy, textbook construction for medical engineering courses in higher vocational education is facing new transformation requirements. Traditional textbooks have many shortcomings in content updating, presentation of equipment structures, and training of operational processes, making it difficult for them to adapt to the characteristics of rapid technological updates and high practical requirements in medical engineering majors. Taking the course of medical equipment assembly and debugging as an example, this paper studies the construction of task-driven digital textbooks. With job tasks such as medical equipment installation, debugging, and troubleshooting as the main line, the course team reconstructs a textbook content system integrating task units, skill objectives, and knowledge support, forming a learning structure that includes task introduction, knowledge learning, operational training, and evaluation feedback. Meanwhile, relying on an intelligent evaluation and feedback mechanism, the textbook provides differentiated learning support for students and offers a basis for teachers to conduct learning diagnosis and process evaluation. AI-empowered digital textbooks help improve the static, single-form, and feedback-lagging problems of traditional textbooks, and can provide reference for the digital construction of medical engineering courses in higher vocational education.