College teaching quality analysis and evaluation method and system based on big data

Abstract

The invention discloses a college teaching quality analysis and evaluation method and system based on big data, and particularly relates to the technical field of teaching quality evaluation, and the method comprises the steps: constructing a BP neural network for evaluating the college teaching quality, taking a college teaching quality coefficient as an output result, quantifying the college teaching quality, and obtaining the college teaching quality. Clustering analysis is carried out on college teaching quality model index coefficients at different time points, so that a data gap between a cluster and an index which enable the current time point to be closest to a historical time point is obtained, and a college teaching quality coefficient gap between cluster centers which enable the current time point to be closest to the historical time point is obtained; comprehensive comparative analysis is carried out according to the time difference and the college teaching quality coefficient difference, changes of the teaching quality are quantified, the college teaching quality is analyzed in a multi-dimensional mode, key nodes with significant changes of the teaching quality are recognized, the change trend of the college teaching quality is dynamically tracked, and a teaching quality analysis consultation report is formed.

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