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The Reform of University Education Teaching Based on Cloud Computing and Big Data Background
1School of Management, Hubei University of Chinese Medicine, Wuhan, Hubei 430065, China.
Computational Intelligence and Neuroscience
|August 22, 2022
Summary
The traditional college teaching model requires modernization through big data and cloud computing. This study introduces an in-depth learning network for evaluating university teaching reforms, aiming to enhance educational quality.
Area of Science:
- Educational Technology
- Computer Science
Background:
- Traditional college teaching models face challenges adapting to the digital age.
- Big data and cloud computing offer opportunities for educational transformation.
- Modernization requires integrating technology for improved teaching and learning.
Purpose of the Study:
- To analyze the impact of science and technology on college teaching.
- To promote the integration of big data and cloud computing in higher education.
- To develop an accurate evaluation method for university teaching reform.
Main Methods:
- Comprehensive analysis of technology's impact on college teaching.
- Development of an evaluation method based on an in-depth research network.
- Establishment of an evaluation model for university education reform through simulation experiments.
Main Results:
- The proposed evaluation method effectively assesses university teaching reform.
- Simulation experiments demonstrated the method's utility in evaluating reforms.
- The integration of technology is crucial for improving teaching quality.
Conclusions:
- The study provides a viable method for evaluating university teaching reform.
- Technological integration, particularly big data and cloud computing, is key to modernizing higher education.
- The developed evaluation framework aids in enhancing overall teaching quality.
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