%0 Journal Article
%T An Open-Source Intelligence-Driven Analysis of International Students¡¯ Blended Learning in China
%A Yuanbo Qi
%A Yijun Meng
%A Yuxin Luo
%A Jiayan Chen
%J Chinese Studies
%P 1-11
%@ 2168-541X
%D 2023
%I Scientific Research Publishing
%R 10.4236/chnstd.2023.121001
%X This paper examines the management of international students</span><span style=\"font-family:&quot;\">¡¯</span><span style=\"font-family:&quot;\"> online</span><span style=\"font-family:&quot;\"> 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 <span>experience
via scaled growth, enhancing and preventing resilience, and</span> reaching out
to a third party for skills reinforcement.
%K Online Blended Learning
%K International Students
%K Open-Source Intelligence (OSINT)
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=122286