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The Construction of Blended Foreign Language Learning Community Based on Computer Big Data Technology

Author(s)

Guihua Ma*

Affiliation(s)

School of Languages and Cultural Communication, Xi’an Mingde Institute of Technology, Xi’an, Shaanxi, China *Corresponding Author.

Abstract

With the advancement of computer technology and the advent of the big data era, students’ lifestyles and mindsets have undergone significant changes. Currently, English classroom instruction primarily follows traditional teaching models, making it challenging to achieve optimal educational outcomes. This study argues that college English teaching in the era of computer big data requires further expansion in teaching content, teaching modes, teaching equipment, and teaching methods. The collaboration between students and teachers will form a blended foreign language learning community. Prior to adopting this approach, students frequently scored below 80. After implementing this method, student scores ranged from a high of 88 to a low of 71. The approach discussed in this article can enhance learning performance and represents the current trend in English teaching reform.

Keywords

Computer Big Data; Blended Learning; Foreign Language Learning; Professional Community; Model Construction

References

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