Empirical Research On The Learning Styles Of University Students In The Big Data Era

The coming of the big data era has provided technical support for the transformation of the learning style of college students.Due to the large volume,variety,and high value nature of big data,the learning style of college students has changed.Specifically,the learning style is based on the passive,static,and isolated nature of disembodied learning,which gradually shifts to the modern theme of subjectivity,context,and experience as embodied in personal learning.At first,this paper uses the literature method and interdisciplinary research method to sort out the concepts and characteristics of big data and learning styles.Explain the intrinsic relationship between the characteristics of big data and the change of learning style,that is,the value of big data highlights the personalization of learning methods,the comprehensiveness of diversified mapping methods of big data,and the dynamic nature of big data highlights the development of learning methods.Disembodied learning,which built on the basis of the traditional dual binary view of subject and object,reveal the nature of traditional learning.Embodied learning,which based on cognition,is the purpose of modern learning style.In the age of big data,the learning style must has evolved from disembodied learning to embodied learning.Secondly,take the example of C school in W city,H province.Through questionnaires,it conducted an empirical study of the current status of the current learning style of college students.The unique characteristics of the learning style of college students in the big data era are presented in 4 terms as learning tools,learning processes,learning experiences,and learning time and space.Also,analysis the problems in the learning style of college students in the big data era from 4 aspects as learning process,learning behavior,teacher guidance,and learning environment.And it analyzes the reasons for the problems in the learning style of college students from the aspects of the learners themselves lacking questioning spirit and weak self-control,weak information security in big data environment and serious content distortions,backward teaching concepts,and insufficient data utilization ability.Finally,from the aspects of improving learner data literacy,creating a green data environment,developing teacher data thinking,and speeding up the construction of a smart campus,to optimize the learning style of college students in the big data era.