An Exploratory Study on the Matching of Learning Style and Teaching Mode of College Students under the Trend of Personalized Learning

Quanwei Shen, Yuzhong Wang


At present, artificial intelligence, learning analysis,machine learning and otherinformation technologies are transforming education in an all-round way. The deep integration of information technology and education has given birth to a large number of new things, such as Micro-Teaching Assistant APP, Rain Classroom APP, Blue Ink Cloud Class APP, Super Star Learning APP, smart classroom and virtual reality. The “classsystem” and “batch system” teaching mode, which emerged in industrialsociety and lasted for nearly 400 years, have been challenged unprecedeningly. Starting from the general trend of individualized learning, this paper discusses the conflict between the mass teaching mode of “class system” and individualized learning, as well as the dilemma of matching learning style and teaching mode, and puts forward four coping strategies based on this, so as to provide reference for the policy making of education administration department and contribute to the development of education and teaching.


Personality; Learning Style; Teaching Mode

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DOI: http://dx.doi.org/10.18282/l-e.v9i3.1573


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