Article Details

Abstract

Teaching is the core function of colleges and universities, but the internal teaching quality assurance consciousness in colleges and universities has not formed. Aiming at the dilemma that the traditional teaching quality assurance system of colleges and universities relies too heavily on external factors, this paper explores the application path of digital intelligence technology in the improvement of teaching quality in colleges and universities, so as to construct a quality assurance system suitable for the internal conditions of colleges and universities. The teaching quality assurance platform is based on classic quality management concepts and constructs a closed-loop quality monitoring mode of “evaluation-feedback-rectification-inspection”. Relying on microservice architecture and intelligent technology, the platform possesses good scalability, adapts to changes in internal and external quality evaluation requirements, focuses on quality risk points, and provides disposal suggestions. The practice in a certain university proves that this platform effectively improves the accuracy of teaching quality evaluation and the scientific nature of teaching management, providing strong support for the continuous improvement of teaching quality in colleges and universities.

Keywords

teaching quality assurance; microservice; teaching evaluation; quality internal control; digital intelligence

References

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About the authors

Chen Xiaoning (1983-), male, Han ethnicity, from Fuzhou, Fujian, engineer, master's student, research interests include artificial intelligence, data security and digital and intelligent transformation of universities.