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dc.contributor.authorGao, Jing
dc.contributor.authorYue, Xiao-Guang
dc.contributor.authorHao, Lulu
dc.contributor.authorCrabbe, M. James C.
dc.contributor.authorManta, Otilia
dc.contributor.authorDuarte, Nelson
dc.date.accessioned2021-01-18T10:11:47Z
dc.date.available2021-01-16T00:00:00Z
dc.date.available2021-01-18T10:11:47Z
dc.date.issued2021-01-16
dc.identifier.citationGao J, Yue X-G, Hao L, Crabbe MJC, Manta O, Duarte N (2021) 'Optimization analysis and implementation of online wisdom teaching mode in cloud classroom based on data mining and processing', International Journal of Emerging Technologies in Learning. , 16 (1), pp.205-218.en_US
dc.identifier.doi10.3991/ijet.v16i01.18233
dc.identifier.urihttp://hdl.handle.net/10547/624756
dc.description.abstractThe rapid development of Internet technology and information technology is rapidly changing the way people think, recognize, live, work and learn. In the context of Internet + education, the emerging learning form of a cloud classroom has emerged. Cloud classroom refers to the process in which learners use the network as a way to obtain learning objectives and learning resources, communicate with teachers and other learners through the network, and build their own knowledge structure. Because it breaks the boundaries of time and space, it has the characteristics of freedom, high efficiency and extensiveness, and is quickly accepted by learners of different ages and occupations. The traditional cloud classroom teaching mode has no personalized recommendation module and cannot solve an information overload problem. Therefore, this paper proposes a cloud classroom online teaching system under the personalized recommendation system. The system adopts a collaborative filtering recommendation algorithm, which helps to mine the potential preferences of users and thus complete more accurate recommendations. It not only highlights the core position of personalized curriculum recommendation in the field of online education, but also makes the cloud classroom online teaching mode more intelligent and meets the needs of intelligent teaching.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Emerging Technologies in Learning.en_US
dc.relation.urlhttps://online-journals.org/index.php/i-jet/article/view/18233en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjecthigher educationen_US
dc.subjectalgorithmsen_US
dc.subjectSubject Categories::G560 Data Managementen_US
dc.titleOptimization analysis and implementation of online wisdom teaching mode in cloud classroom based on data mining and processingen_US
dc.typeArticleen_US
dc.identifier.eissn1863-0383
dc.identifier.journalInternational Journal of Emerging Technologies in Learning.en_US
dc.date.updated2021-01-18T10:07:43Z
dc.description.noteopen access


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International