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HONG Huaqing

HONG Huaqing_rs.jpg

 
 
 
 
 
 
Biographical Profile
Huaqing is a Research Scientist in CRADLE@NTU, seconded from Lee Kong Chian School of Medicine, where he is the Senior Assistant Director and Head of eLearning Research & Development. He received his PhD and Master degrees on Corpus Linguistics from the National University of Singapore (NUS). Prior to that, he earned his Post-graduate Diploma in Education from the National Institute of Education (NIE), Nanyang Technological University (NTU), Singapore, and Bachelors in Linguistics from Xi’an University of International Studies, China.
 
Throughout his teaching and research career spanning over two decades, he has become well-versed in various industry vernaculars and has joined lead research centres in Singapore including the Kent Ridge Digital Labs (KRDL), Institute for Infocomm Research (I2R), A*STAR, and Centre for Research in Pedagogy and Practice (CRPP), NIE, NTU.
 
Huaqing has been appointed as Principal Investigator in at least five corpus-based education research that had external funding reaching over $Sg798,000. At present, he is involved in various technology-enabled learning and team-based learning studies that aim to understand the students’ motivations for learning, and acquisition of 21st Century skills. He is widely published and cited with publications carried by international peer-reviewed books and journals.
 
 
Research interests in Science of Learning and Education
e-Learning technology, learning analytics, data-driven learning, education data mining, corpus linguistics, computational linguistics, computer-assisted language learning
 
 
Research Expertise
Digital humanities, language modelling, corpus analysis, corpus-based education research, discourse analysis
 
 
On-Going Research Projects in CRADLE@NTU
  1. The Impact of Team-Based Learning on Students’ Achievement, Leadership, Communication and Teamwork across Disciplines
  2. Developing a Computational Modelling Framework of Student Engagement in NTU's Team-Based Learning Ecosystem
  3. Creating a Corpus Data Bank (CDB) in Tamil to Investigate the Impact of Standard Spoken Tamil (SST) and to Provide Pedagogical Guidance to Tamil Teachers on Standard Spoken Tamil in Singapore