Chinese Studies

Volume 12, Issue 1 (February 2023)

ISSN Print: 2168-5428   ISSN Online: 2168-541X

Google-based Impact Factor: 1.11  Citations  

An Open-Source Intelligence-Driven Analysis of International Students’ Blended Learning in China

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DOI: 10.4236/chnstd.2023.121001    180 Downloads   1,045 Views  

ABSTRACT

This paper examines the management of international students online blended learning based on a comprehensive analysis through open-source intelligence and data mining of associated discourses. This work reconstructs the assessment model of the online blended learning effect for overseas students and rebalances the process of this educational experience, leading to the forecast of China’s strategic manoeuvres through the lenses of the newsboy model and game theory. This study concludes with three suggestions: boosting the entire experience via scaled growth, enhancing and preventing resilience, and reaching out to a third party for skills reinforcement.

Share and Cite:

Qi, Y. , Meng, Y. , Luo, Y. and Chen, J. (2023) An Open-Source Intelligence-Driven Analysis of International Students’ Blended Learning in China. Chinese Studies, 12, 1-11. doi: 10.4236/chnstd.2023.121001.

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