期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2021
卷号：16
期号：01
页码：205-218
DOI：10.3991/ijet.v16i01.18233
出版社：Kassel University Press
摘要：The 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.
