基于IGSO-SVM的高职教育第三方评价指标挖掘的研究
|
摘要
如何更好监督高职教育的教学效果,国家提出引入第三方评价的标准,本文将高职教育中第三方评价指标作为挖掘对象,提出了人工萤火虫结合自动向量机的挖掘算法,首先,在人工萤火虫算法中引入人工鱼群算法提高人工萤火虫算法性能,其次,通过向量自动机建立第三方评价指标评价模型,最后使用改进的算法对指标模型的参数进行优化得到挖掘效果。仿真实验中,选择了几个高职教育中的第三方指标评进行评价,取得了比较好的效果。
In terms of how to better supervise the teaching effect of higher vocational education, the country has put forward the introduction of third-party evaluation standards. In this article, the third-party evaluation indicators at higher vocational education will be taken as a mining object, and artificial firefly is proposed combined with automatic vector machine mining algorithm. In the firefly algorithm, the artificial fish swarm algorithm is introduced to improve the performance of the artificial firefly algorithm. Secondly, the third party evaluation index evaluation model is established by vector automata. Finally, the improved algorithm is used to optimize the parameters of the index model. In the simulation experiment, the third party index evaluation of higher vocational education was selected and evaluated, and the better effect was achieved.
In terms of how to better supervise the teaching effect of higher vocational education, the country has put forward the introduction of third-party evaluation standards. In this article, the third-party evaluation indicators at higher vocational education will be taken as a mining object, and artificial firefly is proposed combined with automatic vector machine mining algorithm. In the firefly algorithm, the artificial fish swarm algorithm is introduced to improve the performance of the artificial firefly algorithm. Secondly, the third party evaluation index evaluation model is established by vector automata. Finally, the improved algorithm is used to optimize the parameters of the index model. In the simulation experiment, the third party index evaluation of higher vocational education was selected and evaluated, and the better effect was achieved.
引文
[1] 漆玲玲.我国高职教育第三方评价模式研究.武汉大学博士学位论文,2011.05.
[2] 张宏亮.我国职业教育质量第三方评价研究综述[J].中国职业技术教育,2016,10(15):31-36.
[3] 梁卿.论职业教育质量第三方评价的本然机制[J].职教论坛,2014,10(28):4-8.
[4] 胡雁.高校教育质量第三方评价模式探究[J].黑龙江高教研究,2017,10(6):84-86.
[5] 严正香.数据挖掘技术在教学评价系统中的应用[J].科技通报,2012,28(8):221-223.
[6] 畸广情.可拓数据挖掘在教师科研考核评价中的应用[J].数学的实践与认识,2015,10(12):53-59.
[7] 於实.基于关系数据库的教学评价数据的关联规则挖掘[J].科技通报,2012,28(4):99-101.
[8] 陈荣荣.教育质量评价数据的挖掘思路与应用路径[J].上海教育科研,2017,10(6):54-60.
[9] 王立群.高校师资质量科学性评价指标的深入挖掘[J].黑龙江高教研究,2016,10(4):61-63.
[10] 谭雷.基于数据挖掘的高校人才科研能力综合评价方法研究[J].东北大学学报(社会科学版),2014,16(6):596-600.
[2] 张宏亮.我国职业教育质量第三方评价研究综述[J].中国职业技术教育,2016,10(15):31-36.
[3] 梁卿.论职业教育质量第三方评价的本然机制[J].职教论坛,2014,10(28):4-8.
[4] 胡雁.高校教育质量第三方评价模式探究[J].黑龙江高教研究,2017,10(6):84-86.
[5] 严正香.数据挖掘技术在教学评价系统中的应用[J].科技通报,2012,28(8):221-223.
[6] 畸广情.可拓数据挖掘在教师科研考核评价中的应用[J].数学的实践与认识,2015,10(12):53-59.
[7] 於实.基于关系数据库的教学评价数据的关联规则挖掘[J].科技通报,2012,28(4):99-101.
[8] 陈荣荣.教育质量评价数据的挖掘思路与应用路径[J].上海教育科研,2017,10(6):54-60.
[9] 王立群.高校师资质量科学性评价指标的深入挖掘[J].黑龙江高教研究,2016,10(4):61-63.
[10] 谭雷.基于数据挖掘的高校人才科研能力综合评价方法研究[J].东北大学学报(社会科学版),2014,16(6):596-600.