高等职业院校分类招考背景下的学生学业早期预警研究

发布时间：2018-07-04 22:36

本文选题：分类招考 + 学业预警　；参考：《中国职业技术教育》2017年32期

【摘要】：在高等职业院校分类招考制度广泛实施的背景下,为加强高职学生学习情况的过程监控,以高等职业教育学生的基本情况与早期课程成绩为研究对象,基于随机森林算法构建了高职学生学业早期预警模型,经训练、调试,模型的预测准确率达87%,具有较高实用性,能够帮助学校对学生学业进行早期预警并及时干预,进一步提高教育教学质量。
[Abstract]:In the context of the wide implementation of the classified entrance examination system in higher vocational colleges and universities, in order to strengthen the monitoring of the learning process of higher vocational students, the basic situation of students in higher vocational education and the early course results are taken as the research objects. Based on the stochastic forest algorithm, an early warning model for higher vocational students is constructed. After training, debugging, the prediction accuracy of the model is 87%, which is practical and can help the school to carry out early warning and intervene in time. We will further improve the quality of education and teaching.
【作者单位】：武汉船舶职业技术学院;
【基金】：高等职业技术教育研究会“十二五”规划课题“大数据环境下高职教学管理的研究”研究成果(项目编号:GZYLX2015087)
【分类号】：G712

【相似文献】