Cloud Education Model and Evaluation Based on AHP and BP Neural Network

DOI

10.2991/978-94-6463-040-4_179How to use a DOI?

Keywords

Cloud teaching; Analytic hierarchy process; Neural network; Evaluation system

Abstract

Study the current state of cloud technology use in teaching, and train the cloud teaching mode and operational process. To judge whether the cloud mode of instruction has achieved the desired effect, the method of combining the analytical hierarchy process with the BP neural network is selected. A system for evaluating teaching is being explored for cloud-based teaching through theoretical research. The AHP method is used to select three primary indicators and twelve secondary indicators respectively. The judgment matrix method is used to determine the weight of each evaluation index, and the BP neural network principle is used to train the evaluation data, Verify the scientificity and rationality of the evaluation system, which can be applied to other courses in the future in combination with the characteristics of specific courses.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jingjing NIE
PY  - 2022
DA  - 2022/12/27
TI  - Cloud Education Model and Evaluation Based on AHP and BP Neural Network
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 1200
EP  - 1207
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_179
DO  - 10.2991/978-94-6463-040-4_179
ID  - NIE2022
ER  -