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Research on Four-Dimensional Innovative Intelligent Education Platform Based on Cloud Edge-End Architecture.

Buyu WangJingwei QiXiaoping AnJiangyin FuYuan WangNa LiuMeian Li
Published in: Computational intelligence and neuroscience (2023)
In order to solve the problem of backward talent training mode in agriculture-related colleges and universities, this paper proposed a scheme to build a smart teaching platform by using cloud architecture, combining virtualization and twinning technology. The intelligent teaching platform is developed using the 5G converged network architecture and cloud edge system architecture. The intelligent teaching platform has realized such teaching modes as real scene teaching, combination of virtual and real teaching, immersive teaching, multi-teacher collaborative teaching and live interactive teaching. The smart teaching platform has established a new model of digital education, with the functions of teaching, teaching research, teaching management and teaching evaluation, and provides smart teaching cloud services for teachers and students of agriculture-related colleges and universities as well as external tutors. The research of multi-dimensional evaluation system solves the precise management of teaching process. The teaching effect has been significantly improved, and the management cost has been reduced, which meets the goal of training new agricultural talents in agricultural and forestry colleges.
Keyphrases
  • medical students
  • healthcare
  • medical education
  • high throughput
  • climate change
  • risk assessment
  • mental health
  • heavy metals
  • human health