Research on the Construction of Educational Data Quality Model Based on Multiple Constraints Model

With the development of Internet and information technology, data has become an important asset related to the development prospects of society and all walks of life. At present, there are many quality problems in the use of educational data, which has brought great obstacles to exerting the value of educational data. Only by using scientific statistical methods, obtaining real, objective, comprehensive, scientific and effective basic data, and carrying out systematic and comprehensive analysis on the obtained data, can we give full play to its command and decision-making role. The development of big data and artificial intelligence technology provides new ideas for the analysis and evaluation of educational data quality, and is committed to restoring the overall picture of the education system and promoting the change of regional educational ecology. In this paper, an educational data quality analysis model based on multiple constraint model is proposed, which classifies the data in the database, divides the information in the database into several different categories according to the data characteristics, and establishes a quality management system for educational data in universities, so as to effectively improve the quality of educational data.