Construction and practice of teaching quality evaluation system for education management major based on education big data

Abstract

Based on educational big data technology, this article builds a teaching quality evaluation system applicable to the education management profession, covering three dimensions: the teaching process, the teaching effect and the development of students. By integrating multi-source data such as academic systems and online learning platforms, a multi-level indicator system was constructed and analyzed using methods such as AHP and fuzzy synthesis. Practical applications show that the system has significant advantages in terms of accuracy, real-time and feedback value, which can help teaching improvement and scientific decision-making. In the future, we should further promote the integration of intelligent models and data platforms and expand the scope of applications.