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Ding, J., & Ho, J. C. F. (2021). Mapping Engaging Experiences and Frame Shifting in Elucidation and Interactive Animation with Blending Theory in Public Exhibitions. In IDC ’21: Proceedings of Interaction Design and Children (pp. 599-603). Association for Computing Machinery.
https://doi.org/10.1145/3459990.3465188

has been cited by the following article:

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

  AUTHORS: Yuanbo Qi, Yijun Meng, Yuxin Luo, Jiayan Chen

  KEYWORDS: Online Blended Learning, International Students, Open-Source Intelligence (OSINT)

  JOURNAL NAME: Chinese Studies, Vol.12 No.1, January 5, 2023

  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.