Research output per year
Research output per year
Research activity per year
Dr Jiahui Luo (Jess) is an Assistant Professor at the Department of Education Policy and Leadership, the Education University of Hong Kong. She obtained her doctoral degree from the University of Hong Kong as a recipient of the Philip KH Wong Foundation Postgraduate Fellowship. Prior to that, she completed her MPhil at the University of Cambridge as a fully funded International Cambridge Trust Scholar and earned her BA from Sun Yat-sen University with first-class honours.
As an academic, Jess studies the social, relational and ethical implications of advanced technologies (in particular, GenAI) on educational assessment, as well as the governance/regulation of these technologies through education policies at different levels (in particular, higher education). Her research has been published in high-impact international journals such as Assessment & Evaluation in Higher Education, Educational Research Review, and Teaching in Higher Education. In recognition of her research performance, Jess was awarded the 2023 HKU Foundation Publication Award (RPG). She is also the Principal Investigator of several external and internal research grants on GenAI and higher education, including one funded by the Hong Kong Research Grant Council under the prestigious Early Career Scheme.
In addition to research, Jess is passionate about enhancing teaching and learning in higher education. She is experienced in developing teaching and learning resources/programmes for university teachers and students and has served as the facilitator, mentor, and panel moderator for multiple high-profile educational events and forums. Prior to joining EdUHK, Jess was a research member of the Teaching and Learning Enhancement and Research Group (TLERG) and the Teaching and Learning Innovation Centre (TALIC) at the University of Hong Kong.
**Accepting PhD and EdD students:
Please reach out to me with your CV and a brief research proposal before the formal application. Preference will be given to applicants whose work focuses on (1) AI governance and policy in education contexts, (2) implications of advanced technologies on assessment and feedback, or (3) academic integrity in the AI age. I’m interested in supervising students who adopt qualitative methods or mixed methods designs with a heavy qualitative component in their research. Pls note that proposals that solely focus on evaluating the efficiency of educational technologies will not be considered.
Invited journal reviewer for:
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research output: Contribution to journal › Articles › peer-review
Research output: Contribution to journal › Articles › peer-review
Research output: Contribution to journal › Articles › peer-review
Research output: Contribution to journal › Articles › peer-review
Research output: Contribution to journal › Articles › peer-review