Construction of efficient cloud-based digital course learning platform for agricultural worker

Abstract

The trend of e-learning has become increasingly important. E-learning technically applies the advantages of features of the network, including no limitation to place and time, highly interactive, community impacts, and data analysis. Governments, educational institutions, companies and non-profit organizations have quickly established an eco-system to replace the traditional forms of teaching. How to use the ever-changing technology to enhance the manpower quality of government agencies and to help nurture talent is the objective of this study. Therefore, this study proposed a construction of efficient cloud architecture based digital course learning platform for agricultural workers. Through the proposed real-time streaming technology in this study, we can learn the network streaming traffic when videos are played. Furthermore, by employing the cloud architecture, the proposed method can optimize the efficiency of server resources via dynamic allocation and will contribute to a high-quality digital learning effect when users learn digital courses online.