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Issue title: Impact of Intelligence Methodologies on Education and Training Process
Guest editors: Vijayalakshmi Saravanan
Article type: Research Article
Authors: Liang, Xiufang | Haiping, Lv; * | Liu, Jie | Lin, Lin
Affiliations: Foreign Languages Department, Cangzhou Normal University, Cangzhou, Hebei, China
Correspondence: [*] Corresponding author. Lv Haiping, Foreign Languages Department, Cangzhou Normal University, Cangzhou, Hebei, China. E-mail: [email protected].
Abstract: Based on the cloud computing artificial intelligence model, the English interactive teaching model summarized and analyzed in an in-depth manner, the characteristics of the smart classroom explored, and the interactive teaching model reform practiced. This article has studied and analyzed the classic teaching model. Finally, based on constructivism, the advantages of the constructivism teaching model, cooperative teaching model, and mastering learning model selected to construct the teaching model of artificial intelligence courses. Through the questionnaire survey of the current teaching status of artificial intelligence courses, and the investigation of each link of the constructed model, according to the results of the survey to optimize the construction of artificial intelligence courses teaching model to make it more perfect. Based on the cloud computing technology, the system architecture and function module division of the network open class platform designed based on the overall needs, and developed and implemented on this basis. Through global and local two-level authentication, user information synchronization, and interconnection between homogeneous clouds, the identity management function realized. With the help of the e-schoolbag function, the learning results continuously and accurately evaluated, so that every learner can get a good learning experience.
Keywords: Cloud computing, artificial intelligence, English interactive teaching, model reform practice
DOI: 10.3233/JIFS-189397
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3617-3629, 2021
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