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Dr WONG, Gary K. W.

Dr WONG, Gary K. W.

黃家偉

Director, Centre for Information Technology in Education (CITE)
Programme Director, B.Sc. (Information Management)

Assistant Professor

Academic Unit of Human Communication, Development, and Information Sciences


Qualification

Ph.D., Computer Science, City University of Hong Kong (CityU)
Ed.D. Candidate, Learning Design and Leadership, University of Illinois - Urbana Champaign (UIUC)
Ed.M., Learning Design and Leadership, University of Illinois - Urbana Champaign (UIUC)
LL.M., Information Technology and Intellectual Property Law, The University of Hong Kong (HKU)
M.Phil., Electronic and Computer Engineering, The Hong Kong University of Science and Technology (HKUST)
B.Sc., Computer Science, Mathematics, Brigham Young University - Hawaii (BYU-Hawaii)
Professional Certificate, Deeper Learning for All, Harvard Graduate School of Education (Harvard)

Email

[javascript protected email address]

Phone

(852) 2241 5082

Location

Room 113, Runme Shaw Building

Areas
  • Constructionism, computational thinking, computer science and engineering education, artificial intelligence education, STEM education, immersive digital learning environment

Research Expertise

  • Curriculum and Instruction
  • Technology-enhanced Learning
  • Learning Sciences
  • Brain and Cognition
  • Educational Psychology

Prospective PhD/ EdD/ MPhil Applications

​I am available to supervise PhD/EdD/MPhil students and would welcome enquiries for supervision.

General research interests: Constructionism, computational thinking, computer science and engineering education, artificial intelligence education, STEM education, immersive digital learning environment 

 

Specialization:

  • Computational thinking and cognitive development
  • Computer science and engineering education at K-12
  • Artificial intelligence (AI) education
  • Extended reality (XR) (e.g. virtual reality, augmented reality, mixed reality) in education
  • Precision education with AI and data analytics

Recruiting PhD student: I constantly look for self-motivated candidate who desires to pursue a PhD degree under my supervision. If you are interested and have passion on research in my area (1st priority is given to those PhD applicants interested in educational research of "computational thinking", "artificial intelligence" or closely related areas), please contact me and discuss about the graduate study opportunity before submitting the application.  (Please read this before contacting me: https://www.elsevier.com/connect/9-things-you-should-consider-before-embarking-on-a-phd)

Internal Awards

  • Faculty Knowledge Exchange (KE) Award (Individual), Project: Coding for Community Project: Building a Diversified Coding Community in Hong Kong Secondary Education, HKU, 2022
  • Faculty Knowledge Exchange (KE) Award (Team as Co-I), Project: Co-creating a New Normal of Empowered Learning through Digital Citizenship Research, HKU, 2021

Best Paper Awards

  • Best Paper Award, IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2017, "Assessing Primary School Students' Intrinsic Motivation of Computational Thinking"
  • Outstanding Journal Article Published in the International Review of ETR&D Award, The Association for Educational Communications and Technology (AECT) International Convention 2016, "The behavioral intentions of Hong Kong primary teachers in adopting educational technology", Educational Technology Research and Development (ETR&D)
  • Best Paper Award, IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2015, "School Perceptions of Coding Education in K-12: A Large Scale Quantitative Study to Inform Innovative Practices"

 

Other Awards

  • Special Merit Award, The Education University of Hong Kong, 2016
  • Phi Kappa Phi
  • Upsilon Pi Epsilon
  • Young Alumni Award, Brigham Young University Hawaii, 2011

Research Funding (Selected)

  • Principal Investigator, Developing Pre-Service Teacher Computational Thinking Competences in Hong Kong, The Hong Kong Jockey Club Charities Trust Fund, 2022 - 2024, Grant: HKD5,762,174.00
  • Principal InvestigatorAn Artificial Intelligent-enabled Recommendation (AIR) System for Ideation in Undergraduate Research ProjectsTeaching Development Grant (TDG) Award, 2022 - 2023, Grant: HKD288,700.00
  • Principal Investigator, Infusing engineering design process into science education in primary schools: Design-based research on students’ constructionist learning approach, Research Grants Council, General Research Fund (GRF), 2019 - 2022, Grant: HKD320,500.00
  • Principal Investigator, Computational Thinking Education for Junior Secondary Students Pilot Programme, The Hong Kong Jockey Club Charities Trust Fund, 2019 - 2022, Grant: HKD11,370,000.00
  • Principal Investigator, Enhancing language education with artificial reality neo-platform (eLEARN), 2017-2019, Education Bureau (EDB), Quality Education Fund (QEF), Grant: HKD3,444,200.00
  • Principal Investigator, The impact of coding education in Hong Kong primary schools: a longitudinal study, Research Grants Council, General Research Fund (GRF), 2017 - 2020, Grant: HKD547,500.00
  • Principal Investigator, Flipped Learning Initiative Programme for Primary Education (FLIPPEd), 2015-2016, Education Bureau (EDB), Quality Education Fund (QEF), Grant: HKD375,800.00

SCHOLARLY BOOKS, MONOGRAPHS AND CHAPTERS

  1. Law, N., Woo, D., de la Torre, J. & Wong, G. K. W. (2018). A global framework of reference on digital literacy skills for indicator 4.4.2. UNESCO Institute for Statistics 
  2. Ozcinar, H., Wong, G. K. W., & Ozturk, H. T. (Eds.). (2017). Teaching Computational Thinking in Primary Education. Hershey, PA: IGI Global.
  3. Wong, G. K. W., Jiang, S., & Kong, R. (2018). Computational Thinking and Multifaceted Skills: A Qualitative Study in Primary Schools. In Teaching Computational Thinking in Primary Education (pp. 78-101). Hershey, PA: IGI Global.
  4. Wong, G. K. W. & Yang, M. (2017). Using ICT to generate instant and asynchronous feedback via technology-enabled formative assessment tasks. In S. Kong (Ed.), Emerging Practices in Scholarship of Learning and Teaching in a Digital Era. (pp. 289-309) Springer: Singapore
  5. Wong, G. K. W. (2016). A new wave of innovation using mobile learning analytics for flipped classroom. In D. Churchill, J. Lu, T. Chiu, & B. Fox (Eds.), Mobile Learning Design: Theories and Applications (189-218). Singapore: Springer.

 

SELECTED REFEREED ARTICLES (PEER-REVIEWED)

  1. Wong, G. K. W. , Tsang, Y., Wu, Q., Zhang, X. (2022). Do underprivileged youth find hope, sense of community, and perceived social support in computational participation? A socio-cognitive approach to computational learning. Education and Information Technologies (accepted) [impact factor: 3.666]
  2. Ye J., Lai, X., & Wong, G. K. W. (2022). A multigroup structural equation modeling analysis of students' perception, motivation, and performance in computational thinking. Frontiers in Psychology, https://doi.org/10.3389/fpsyg.2022.989066. [impact factor: 4.232]
  3. Ye, J., Lai, X., & Wong, G. K. W. (2022). The transfer effects of computational thinking: A systematic review with meta-analysis and qualitative synthesis. Journal of Computer Assisted Learning, https://doi.org/10.1111/jcal.12723 [impact factor: 3.862]
  4. Zhang, S., Wong, G. K. W., & Chan, P. C. F. (2022). Playing coding games to learn computational thinking: What motivates students to use this tool at home?. Education and Information Technologieshttps://doi.org/10.1007/s10639-022-11181-7. [impact factor: 3.666]
  5. Jiang, S., & Wong, G. K. W. (2022). Exploring age and gender differences of computational thinkers in primary school: A developmental perspective. Journal of Computer Assisted Learning, 38, 60-75, https://doi.org/10.1111/jcal.12591. [impact factor: 3.862]
  6. Lai, X., & Wong, G. K. W. (2022). Collaborative versus individual problem solving in computational thinking through programming: A meta-analysis. British Journal of Educational Technology, 53, 150-170, https://doi.org/10.1111/bjet.13157. [impact factor: 4.929]
  7. Wong, G. K. W., Li, Y., & Lai, X. (2021). Visualizing the learning patterns of topic-based social interaction in online discussion forums: an exploratory study. Educational Technology Research and Development, 69, 2813-2843, https://doi.org/10.1007/s11423-021-10040-5. [impact factor: 5.580]
  8. Wong, G. K. W.., Ma, X., Dillenbourg, P., & Huan, J. (2020). Broadening artificial intelligence education in K-12: where to start?. ACM Inroads11(1), 20-29, https://doi.org/10.1145/3381884.
  9. Reichert, F., Zhang, D. J., Law, N. W., Wong, G. K. W., & de la Torre, J. (2020). Exploring the structure of digital literacy competence assessed using authentic software applications. Educational Technology Research and Development, 68, 2991-3013, https://doi.org/10.1007/s11423-020-09825-x. [impact factor: 5.580]
  10. Saxena, A., Lo, C. K., Hew, K. F., & Wong, G. K. W. (2020). Designing Unplugged and Plugged Activities to Cultivate Computational Thinking: An Exploratory Study in Early Childhood Education. The Asia-Pacific Education Researcher29(1), 55-66, https://doi.org/10.1007/s40299-019-00478-w. [impact factor: 2.561]
  11. Wong, G. K. W. & Cheung, H. (2020). Exploring children’s perceptions of developing twenty-first century skills through computational thinking and programming, Interactive Learning Enviromentshttps://doi.org/10.1080/10494820.2018.1534245. [impact factor: 4.965]
  12. Jiang, S. & Wong, G. K. W. (2017). Assessing Primary School Students’ Intrinsic Motivation of Computational Thinking. In Proceedings of IEEE International Conference on Teaching, Assessment and Learning in Engineering (TALE) 2017, IEEE, Hong Kong. (Best Paper Award) [acceptance rate: ~16%]
  13. Wong, G. K. W. (2016). The behavioral intentions of Hong Kong primary teachers in adopting educational technology. Educational Technology Research and Development, 64(2), 313-338, https://doi.org/10.1007/s11423-016-9426-9. [impact factor: 5.580]
  14. Wong, G. K. W., Zhu, K., Ma, X. & Huen, M. H. (2016). The Development of Internationalized Computational Thinking Curriculum in Hong Kong Primary Education. In Proceedings of The 47th ACM Technical Symposium on Computing Science Education 2016, Memphis, TN, USA. [acceptance rate: 35%]
  15. Wong, G. K. W. (2015). Understanding technology acceptance in pre-service teachers of primary mathematics in Hong Kong. Australasian Journal of Educational Technology (AJET), 32(6), 713-735, https://doi.org/10.14742/ajet.1890. [impact factor: 3.730]
  16. Wong, G. K. W., Cheung, H. Y., Ching, C. C., & Huen, M. H. (2015). School Perceptions of Coding Education in K-12: A Large Scale Quantitative Study to Inform Innovative Practices. In Proceedings of IEEE International Conference on Teaching, Assessment and Learning in Engineering (TALE), IEEE, Zhuhai, China. (Best Paper Award) [Acceptance Rate: 19.6%]

Editorial:

  • Associate Editor, IEEE Transactions on Education, 2021 - Current
  • Associate Editor, Frontier in Education (STEM Education), 2021 - Current
  • Editorial Board Member (2022 - Current) - Computers & Education: X Reality
  • Editorial Board Member (2013 - Current) - International Journal of Mobile Learning and Organisation (IJMLO)
  • Editorial Board Member (2013 - Current) - International Journal of Business and Systems Research (IJBSR)
  • Co-Editor (2017) - "Teaching Computational Thinking in Primary Education", IGI Global, http://www.igi-global.com/publish/call-for-papers/call-details/2017
  • Article Editor (2014) - SAGE Open Journal
  • Guest Editor (2013) - International Journal of Information and Communication Technology, Special Issue on Information Technology and Intellectual Property Law

Professional and Academic Conferences (Selected):

  • Secretary, IEEE Education Society - Board of Governers, 2022 - Current
  • Member, Global Liaison Committee, ACM Technical Symposium on Computer Science Education
    (SIGCSE 2015 - Current)
  • Chair, Executive Officer Committee, IEEE Hong Kong Section (Education Chapter), 2014-2019
  • General Chair, 2017 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE 2017)

Public Services:

  • Member, Assessment Panel on General Studies, Chief Executive's Award for Teaching Excellence (CEATE) (2022/2023)
  • Member, Ad Hoc Committee on Reviewing IT Learning Targets, Education Bureau (EDB), 2022-Present
  • Member, Curriculum Development Council Committee on Technology Education (CDCC(TE)), Education Bureau (EDB), 2021-Present
  • Member, Working Group on Revamp for Consumer Education for Youth (WGRCEY), Consumer Council, 2022-Present

Membership

  • IEEE Senior Member
  • IEEE Education Society Member
  • ACM Professional Member
  • ACM SIGCSE Member
  • AERA Member