Research on the Transformation of Personalized Digital Resource Supply for International Chinese Education Based on Big Data
Abstract
In todays era of accelerating globalization, Chinese, an important language in international exchanges, has increasingly high demands for learning. Especially after the proposal of the Belt and Road Initiative, some countries or regions have shown great interest in
Chinese education. At the same time, the rapid development of digital technology has brought unprecedented opportunities and challenges to
international Chinese education. The traditional Chinese education model can no longer meet the diverse learning needs, and how to realize
personalized and intelligent supply of Chinese education resources under the drive of big data technology has become an important research
topic at present. This paper explores the transformation of the digital resource supply model of international Chinese education in the context
of big data, analyzes its personalized needs, and puts forward relevant countermeasures and suggestions, hoping to provide theoretical support
and practical guidance for the in-depth development of international Chinese education.
Chinese education. At the same time, the rapid development of digital technology has brought unprecedented opportunities and challenges to
international Chinese education. The traditional Chinese education model can no longer meet the diverse learning needs, and how to realize
personalized and intelligent supply of Chinese education resources under the drive of big data technology has become an important research
topic at present. This paper explores the transformation of the digital resource supply model of international Chinese education in the context
of big data, analyzes its personalized needs, and puts forward relevant countermeasures and suggestions, hoping to provide theoretical support
and practical guidance for the in-depth development of international Chinese education.
Keywords
Big data; International Chinese education; Personalized digital resources; Supply transformation
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PDFReferences
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DOI: http://dx.doi.org/10.70711/frim.v3i1.5881
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