基于大数据背景的高职院校专业设置机制创新探究

发布时间：2018-07-25 15:55

【摘要】：大数据时代,数据获得日益便捷,通过对数据的挖掘和分析能够有效促进管理决策,增强过程控制和提升预测能力,具有较好的社会治理价值。当前,我国高职院校专业设置对口率低,岗位不匹配、校际同质化现象突出,究其原因,数据信息的缺乏削弱了职业教育与社会经济融合对接能力。基于此,高职院校要创新专业设置机制,建立由政府、行业(企业)、院校三方共同参与的,以数据信息为基础的专业设置模式,通过不同主体间数据信息的耦合协调,提升职业技术教育的社会适应性。具体而言,要做好四方面数据工作,即增强专业需求数据预测、实施过程数据监测、强化就业结果数据反馈,与此同时,推进以大数据为基础的专业设置决策机制创新。
[Abstract]:In the era of big data, data acquisition is becoming more and more convenient. Data mining and analysis can effectively promote management decision, enhance process control and improve prediction ability, and have good social governance value. At present, the matching rate of professional establishment in higher vocational colleges is low, the post mismatch and the homogeneity between schools are prominent. The reason is that the lack of data and information weakens the ability of integrating vocational education and social economy. Based on this, higher vocational colleges should innovate the mechanism of specialty setting, establish a professional setting model based on data information, which is participated by the government, industry (enterprise) and colleges, through the coupling and coordination of data information among different subjects. Improve the social adaptability of vocational and technical education. In particular, we should do a good job in four aspects of data, namely, enhance the professional demand data prediction, implement process data monitoring, strengthen the employment results data feedback, at the same time, promote the innovation of decision-making mechanism based on big data.
【作者单位】：西南大学教育学部;西南大学;
【基金】：教育部2010年重点课题“西部地区创新型职业教育体系构建”(课题编号:GJA104005)的研究成果
【分类号】：G712.3

【参考文献】