Research on an early warning model of effectiveness evaluation in ideological and political teaching based on big data-Reference-Cited by-同舟云学术

Research on an early warning model of effectiveness evaluation in ideological and political teaching based on big data

Published:2022-08-24 Issue:0 Volume:0 Page:
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Li Dan¹

Affiliation:

1. Henan Industry and Trade Vocational College , Zhengzhou , Henan , China

Abstract

Abstract Ideological and political (IAP) education is an important part of higher education, which plays a fundamental role in allround education mechanisms and other fields. Under the vigorous development of big data technology, the crisis of IAP teaching effectiveness in colleges and universities is restricted by the non-linear development path, incomplete information collection, irregular data distribution, difficulty in quantifying index design and so on. Therefore, by analysing the application foundation of big data in IAP teaching evaluation, this paper puts forward an early warning model of IAP teaching effectiveness based on SVM algorithm design and decision analysis of a BP neural network and quantifies the quality of IAP teaching by constructing an index system of IAP evaluation, early warning evaluation value and early warning limit value, which is helpful to realise all-round dynamic early warning of IAP education in colleges and universities.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/amns.2021.2.00217

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