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信息时代地方职业教育改革方法探讨——以新疆阿勒泰地区中职学校为例 被引量:2

Discussion on the Reform Methods of Local Vocational Education in the Information Age——Taking the Secondary Vocational Schools in Xinjiang Altay Prefecture as an Example
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摘要 随着信息技术、数字技术的不断发展,传统的教育方式也随之发生变化。目前,国家大力推进产教融合、虚拟仿真实训教育教学,希望能为生产、建设、管理、服务等领域的工业化和现代化培养更多高素质劳动者和技能型人才。对于地方中职学校而言,推进这项工作还有很多实际困难,如何克服困难是中职学校教师需要重点思考的,要把产教融合、虚拟仿真实训教学真正落到实处,促进产教融合发挥对现代职业教育的“教育链”与“产教链”有机衔接的作用。文章基于对地方中职学校职业教育改革存在问题的探索,提出了一些改革建议和实施方法,以期为地方职业院校的教学改革提供参考。 With the continuous development of information technology and digital technology,traditional educational methods are also changing.At present,the state vigorously promotes the integration of industry and education,virtual simulation training education and teaching,hoping to train more high-quality workers and skilled talents for the industrialization and modernization of production,construction,management,service and other fields.For local secondary vocational schools,to promote the work still has a lot of practical difficulties,and how to overcome is what the secondary vocational school teachers need to focus on thinking.The integration of industry and education and virtual simulation training should be put into practice to promote the integration of industry and education to play an organic role in connecting the“education chain”and“industry and education chain”of modern vocational education.Based on the exploration of the problems existing in the vocational education reform of local secondary vocational schools,this paper puts forward some reform suggestions and implementation methods in order to provide reference for the teaching reform of local vocational colleges.
作者 克依兰·吐尔逊别克 徐爱萍 KEYILAN·Tuerxunbieke;XU Aiping(Xinjiang Altay Vocational and Technical School,Altay 836500,China;School of Computer,Wuhan University,Wuhan 430072,China)
出处 《职业技术》 2022年第10期9-15,共7页 Vocational Technology
关键词 地方职业教育 职业教育 教学改革 local vocational education vocational education teaching reform
作者简介 克依兰·吐尔逊别克(1975—)。本科,高级讲师。主要研究方向:职业教育,计算机教育教学;徐爱萍(1962—),女。博士,教授。主要研究方向:大数据分析,自然语言理解。
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