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作 者:黄启敏 黄悦 Huang Qimin;Huang Yue
出 处:《时代汽车》2025年第3期70-72,共3页Auto Time
基 金:2023年度广西职业教育教学改革研究项目,课题名称:《基于STEM教育理念下中职现代制造优质专业课程体系改革的研究与实践》,课题编号:GXZZJG2023A033。
摘 要:职业教育与普通教育并举是我国教育发展的战略方针,当前职业教育考试招生制度改革不断深化,建设全国统一的高职分类考试成为大势所趋。在此背景下,加强适应高职教育特点的技能测试资源建设,对于提高职业教育人才培养质量具有重要意义。本文聚焦制造类技能测试,以机械制图课程为例,分析了当前职教高考技能测试中存在的问题,阐述了基于职教高考要求建设技能测试资源库的必要性。在明晰课程内容与技能测试关系的基础上,从基础技能、专项技能、综合技能三个层面,构建了多元立体的技能测试资源体系,提出应制定规范统一的评价标准,采用人工智能、大数据等现代信息技术手段创新测试方式,完善技能测试质量保障体系。The simultaneous development of vocational education and general education is the strategic policy of China's education development,and the current reform of the vocational education examination enrollment system is deepening,and the construction of a unifi ed national higher vocational classifi cation examination has become the general trend.In this context,it is of great signifi cance to strengthen the construction of skill testing resources that adapt to the characteristics of higher vocational education to improve the quality of vocational education talent training.This paper focuses on the manufacturing skills test,takes the mechanical drawing course as an example,analyzes the problems existing in the current vocational education college entrance examination skill test,and expounds the necessity of building a skill test resource library based on the requirements of the vocational education college entrance examination.On the basis of clarifying the relationship between course content and skill testing,a multi-dimensional skill testing resource system was constructed from three levels:basic skills,special skills and comprehensive skills,and it was proposed that standardized and unifi ed evaluation standards should be formulated,and modern information technology means such as artifi cial intelligence and big data should be used to innovate testing methods and improve the quality assurance system of skill testing.
关 键 词:职业教育 高职分类考试 机械制图 技能测试 资源库建设
分 类 号:G71[文化科学—职业技术教育学]
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