Zhan (Jan) Wang, PhD

Lecturer, Postdoctoral Researcher

The Education University of Hong Kong
wangzhan@eduhk.hk

Dr. Zhan Wang is a Lecturer and Postdoctoral Researcher in the Analytics & Assessment Research Centre and the Department of Chinese Language Studies at The Education University of Hong Kong (EdUHK). Specialising in second language acquisition theory and practice (e.g., Task-Based Language Teaching, Dialogic Pedagogy, narrative speaking, and argument writing), she trains pre-service and in-service teachers in the MA in Chinese as an International Language program. She has extensive experience teaching Chinese and English linguistics, second language acquisition, quantitative methods, and language and well-being across the BEd, MEd, MA, and MPhil levels at CUHK and EdUHK. Additionally, she provides Corpus Linguistics and Natural Language Processing solutions for collaborative research.

Dr. Wang is a recognized expert in language pedagogy, assessment, and genre-based writing, whose specialized research analyzes the Hong Kong Diploma of Secondary Education (HKDSE) Chinese language examinations. In a study published in Applied Linguistics, she analyzed large-scale corpora of officially scored, authentic HKDSE examinee essays. From this data, she developed and empirically validated a novel writing framework centered on Multiple Discourse Modes (MDM) and essay orientations. Her research demonstrates that integrating narrative elements into argumentative essays—and utilizing sensory-rich, emotion-evoking introductions in narrative essays—significantly elevates essay quality and exam scores. Crucially, these theoretical innovations are directly applicable to the classroom, equipping Chinese language educators with evidence-based instructional strategies to develop students' higher-order writing skills, improve argumentative and narrative essay coherence, and directly enhance assessment outcomes.

Her research expertise also encompasses AI in Education and social media analysis. Currently, she is using Large Language Models to detect fake news in multiple languages (Chinese, English, French, and Korean) on Twitter/X. Her broader research interests include verbal and non-verbal discourse and emotion on online social media platforms (e.g., Twitter/X, TikTok, Xiaohongshu, Facebook, and Instagram). Her work has been published in leading journals, including Studies in Second Language Acquisition, Applied Linguistics, Language Teaching Research, British Journal of Educational Technology, and Media and Communication. She welcomes potential research collaborations.