摘要
青年教师已成为高校教学任务的主要承担者,科学地评价其教学能力为后续有针对性的培养及全面提高高校人才培养质量具有十分重要的意义。项目组以延安大学为案例,应运大数据分析法从文献数据、过程数据、问卷数据等角度进行分析挖掘,给出了影响因素,建立了教学能力的评价模型。评价结果与青年教师教学能力的真实情况具有很好的一致性。
Young teachers have become the main undertakers of teaching tasks in Colleges and universities. It is of great significance to evaluate their teaching ability scientifically for the follow-up targeted training and overall improvement of the quality of talent training in Colleges and universities. Taking Yan’an University as an example, the project team analyzed and excavated the literature data, process data and questionnaire data by the data analysis method of Yunda University. The influencing factors were given, and the evaluation model of teaching ability was established. The evaluation results are in good agreement with the actual situation of young teachers’ teaching ability.
作者
陈远昕
王文发
崔恒睿
刘豆
张娜
王伟
CHEN Yuanxin;WANG Wenfa;CUI Hengrui;LIU Dou;ZHANG Na ;WANG Wei(School of Mathematics and Computer Science, Yan'an University, Yanan Shaanxi, 716000,China)
出处
《创新创业理论研究与实践》
2018年第13期4-7,共4页
The Theory and Practice of Innovation and Enterpreneurship
基金
陕西省大学生创新训练项目:基于地方高校教学大数据挖掘与分析的教学效果评价模型研究(项目编号:1494)
关键词
大数据
教学能力
评价模型
Big data
Teaching ability
Evaluation model
