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Research on Four-Dimensional Innovative Intelligent Education Platform Based on Cloud Edge-End Architecture
Buyu Wang1,2, Jingwei Qi2,3, Xiaoping An2,3
1College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, Inner Mongolia, China.
Computational Intelligence and Neuroscience
|March 13, 2023
Summary
This study introduces a smart teaching platform using cloud and twinning technologies to modernize agricultural education. The platform enhances teaching methods and management, improving educational outcomes and reducing costs for agricultural colleges.
Area of Science:
- Agricultural Education Technology
- Digital Learning Environments
- Cloud Computing in Education
Background:
- Traditional agricultural talent training models in colleges face challenges in adapting to modern needs.
- There is a need for innovative digital education solutions to enhance agricultural higher education.
Purpose of the Study:
- To propose and develop a smart teaching platform for agriculture-related colleges and universities.
- To integrate advanced technologies like cloud architecture, virtualization, and twinning for improved educational delivery.
- To establish a new digital education model that supports comprehensive teaching, research, management, and evaluation.
Main Methods:
- Development of an intelligent teaching platform utilizing a 5G converged network and cloud-edge system architecture.
- Implementation of diverse teaching modes including real-scene, virtual-real combination, immersive, multi-teacher collaborative, and live interactive teaching.
- Integration of a multi-dimensional evaluation system for precise management of the teaching process.
Main Results:
- The platform successfully supports various innovative teaching methodologies, enhancing engagement and learning.
- A new digital education model was established, offering smart teaching cloud services to educators and students.
- Significant improvements in teaching effectiveness and a reduction in management costs were observed.
Conclusions:
- The developed smart teaching platform effectively addresses the limitations of traditional agricultural talent training.
- The platform provides a robust digital education solution, meeting the goals of cultivating new agricultural talents.
- The integration of technology has led to enhanced teaching outcomes and more efficient educational management.
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