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

Abstract

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.