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Teaching Quality Evaluation Model for Human Resource Development and Management Major Under the Background of Big Data

机译:大数据背景下的人力资源开发与管理专业教学质量评价模型

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The evaluation of teaching quality in colleges relies on reliable and comprehensive evaluation data, which is also an important basis for educational decision-making. The application of big data technology can realize scientific analysis and in-depth mining of a large number of data, analyze the value and connection implied in the data on a multidimensional level, and enable the evaluation of teaching quality to transform from the previous analysis of segment information and small sample data to the whole process of all-round data decision-making. This paper proposes a learning quality evaluation model based on big data in cloud computing environment, using the structure method, AHP, fuzzy comprehensive evaluation and multi-objective optimization method. It is also combined with a variety of theories such as user perception theory and user experience theory, and the development of this model is studied. Finally, we develop and design the learning quality evaluation system under cloud computing, to test the system and prove the credibility of our scheme.
机译:高校教学质量评价依靠可靠,全面的评价数据,也是教育决策的重要依据。大数据技术的应用可以实现对大量数据的科学分析和深度挖掘,在多维层次上分析数据所隐含的价值和联系,使教学质量评价可以从以往的分析方法转变为将信息和小样本数据细分到全方位数据决策的全过程。利用结构化方法,层次分析法,模糊综合评价和多目标优化方法,提出了云计算环境下基于大数据的学习质量评价模型。它还与各种理论(例如用户感知理论和用户体验理论)相结合,并研究了该模型的开发。最后,我们开发和设计了云计算下的学习质量评估系统,对其进行测试并证明了该方案的可信度。

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