摘要
高职院校的教学质量评价依赖可靠与全面的评价数据,也是教育决策的重要依据,大数据技术的应用能够实现对大量数据的科学分析与深度挖掘,在多维的层面上分析数据所隐含的价值与联系,能够使教学质量评价从以往对片段信息与小样本数据的分析转化为对全程化、全方位数据的决策。通过数据的多维挖掘技术来分析教学质量评价体系,能够有效地提升教学质量评价的有效性与可信度,降低评价过程中产生的矛盾冲突。
Teaching quality evaluation in vocational colleges depends on reliable and comprehensive evaluation data and is an important basis for educational decision-making,generally carried out by utilizing of diversified technology and evaluation strategies. Nowadays,our society gradually steps into a big data era. The application of big data technology can realize scientific analysis and deeper mining of large amounts of data and the values and links implied in data on multiple dimensions. It can make teaching quality evaluation transform from previous analysis of fragment information and small sample data to whole process and omni-directional data decision. Analyzing teaching quality evaluation system through multi-dimensional mining technology can effectively improve effectiveness and credibility of teaching quality evaluation and reduce conflicts and tensions effectively during evaluation process.
作者
严莉
YAN Li(School of Mechano-elecrical Engineering,Suzhou Vocational University,Suzhou 215104,China)
出处
《苏州市职业大学学报》
2018年第2期87-89,共3页
Journal of Suzhou Vocational University
关键词
大数据
高职院校
教学质量
评价体系
运用
big data
vocational colleges
the quality of teaching
evaluation system
application