Subsite Background

Learning Analytics Community

List of Faculty/Departmental Representatives on Institutional Surveys

Faculty Dept/Unit Faculty/Dept Rep* Post  Email
ARTS CHI Prof. WONG Shuk Han Mary Associate Professor
CUS Prof. LEUNG Yuk Ming Lisa Associate Professor
ENG Prof. Preet HIRADHAR   Associate Professor of Teaching
HST Prof. Mark HAMPTON  Associate Professor
PHI Prof. CHIU Wai Wai  Associate Professor
TRA Prof. HUI Ting Yan Isaac  Associate Professor
VS To be confirmed - -
(Fac Rep)
To be confirmed - -
BUS MKT (Fac Rep) Prof. POON Shing Chung Patrick  Professor of Teaching
SS PSY (Fac Rep) Prof. LUN Miu Chi Vivian  Associate Professor
- GS To be confirmed - -
- CCO To be confirmed - -
- REG Mr CHAN Chung Kai Roy Administrative Manager
- OSA Ms WONG Lai Chu Connie  Associate Director of Student Affairs



To be confirmed





Ms Michelle XU

Head of the Office of Internal Audit

- TLC Prof LAM King Sun Frankie Director
Mr CHEUNG Kam Wing Kevin 

Manager and Strategic Lead, Learning Analytics

Ms. LAM Lai Ki Joy Senior Evaluation Officer

# Cc in communication loop only


  1. Act as the primary conduit between TLC and associated faculties/ departments in the areas of institutional surveys and utilization of data to inform development in curriculum and teaching and learning, so as to help align with stakeholder needs, and advance development of institutional surveys and utilise data for teaching and learning improvement.
  2. To relay support requests to respective academic unit/ faculty, in relation to administration, monitoring and development of institutional surveys.
  3. Provide comments to institutional survey reports and collaborate with TLC in proposing recommendations. 
  4. Provide support to implementation of recommendations related to curriculum and teaching and learning from institutional survey reports.
  5. Collaborate with TLC in better utilising data and evidence generated from institutional surveys to effectively inform development in curriculum and teaching and learning, so as to help form, consolidate and enhance culture of ‘evidence-based teaching and learning’.  
  6. Provide suggestions to make the development of institutional surveys better fit for purposes, including but not limited to: 
    • Survey design 
    • Data analysis 
    • Data presentation 
    • Report format and presentation 
    • Linkages among different surveys  
  7. Provide suggestions to development of data warehouse, for effectively storing, organizing, retrieving and archiving current and historical data related to teaching and learning from various sources, so as to facilitate data analysis, management and retention.
  8. Convey any feedback related to institutional survey from colleagues in respective academic unit to TLC. 
  9.  Any role(s) raised later which are found appropriate and acceptable to the members.