Dr. Jing LIU

Lecturer I
Assistant Dean (Outreach and Engagement), Office of the Dean of Business
Economics Discipline
Department of Accountancy, Economics and Finance

	jingliu@hkbu.edu.hk
	3411 7532
	WLB 516
	https://orcid.org/0009-0004-4881-4705
	Jing LIU public CV
	View Scopus Profile

Dr. Jing Liu received her Ph.D. in Communication from City University of Hong Kong. She also holds a Master degree in Applied Data Science from University of Michigan and a Bachelor of Arts in Journalism from Zhejiang University.

Her teaching portfolio includes a variety of undergraduate and postgraduate courses on data analytics, such as statistics, big data analytics, machine learning, AI, and data visualization. Dr. Liu's primary research interests are computer-mediated communication and public opinion. In addition to her academic work, she contributes her expertise to the general public through mass media.

Data Analytics for Business Decision Making
Big Data Analytics with Python
Artificial Intelligence for Business
Data Visualization with Story-telling
Projects for Data Analytics

Ph.D. in Communication, City University of Hong Kong
Master of Applied Data Science, University of Michigan
B.A. in Journalism, Zhejiang University

Revisiting Pedagogical Agents in the Era of Large Language Models: From Social Agency to Social Interdependence

Li, C., Jia, Y., Ng, P.H.F., Liu, J., Li, Q., Jul. 2026, In: Chui, K.T., Li, C., Jia, J., Cheung, S.K.S., Lee, F.WF., Shang, J. (eds) Blended Learning. Innovations for Future Education. ICBL 2026. Lecture Notes in Computer Science, vol 16778 (p.180-193). Springer, Singapore. https://doi.org/10.1007/978-981-92-3761-6_13

_{Research output : Chapter in book/report/conference proceeding › Conference proceeding › peer-review}

Avatar-mediated communication in collaborative virtual environments: a study on users' attention allocation and perception of social interactions

Li, C., Dai, Y., Chen, G., Liu, J., Li, P., & Ip, H. H., Jun 2025, In: Computers in Human Behavior. 167, Article 08598. https://doi.org/10.1016/j.chb.2025.108598
_{Research output : Contribution to journal › Journal article › peer-review}

Enhance Learner Engagement Through Experiential Learning in a Gamified Simulation: A Longitudinal Study

Chen Li, Jeff K.T. Tang, Yie Jia, Yufei Lu, Peter H.F.Ng, Laura Zhou, Jing Liu, & Qing Li, Jun 2025, In: Ma, W.W.K., Cheung, S.S.K., Li, C., Prayadsab, P., Mungwattana, A. (eds) Blended Learning. Sustainable and Flexible Smart Learning. ICBL 2025. Lecture Notes in Computer Science, vol 15721 (p.191-202). Springer, Singapore. https://doi.org/10.1007/978-981-96-8430-4_15

_{Research output : Chapter in book/report/conference proceeding › Conference proceeding › peer-review}

Disentangling the relation among trust, efficacy and privacy management: a moderated mediation analysis of public support for government surveillance during the Covid-19 pandemic

Liu, J. & Skoric, M., Li, Chen., 2024, In: Behaviour & Information Technology. 43(2), 551-570. https://doi.org/10.1080/0144929X.2023.2178830

_{Research output : Contribution to journal › Journal article › peer-review}

Immersive Virtual Reality Enabled Interventions for Autism Spectrum Disorder: A Systematic Review and Meta-Analysis.

Li, C., Belter, M., Liu, J., Lukosch, H., June 2023, In: Electronics, 12(11), 2497. https://doi.org/10.3390/electronics12112497

_{Research output : Contribution to journal › Journal article › peer-review}

Collaborative Virtual Environment for Distant and Blended Learning in the Higher Education Setting: A Systematic Review

Li, C., Liu, J., June 2022, In: Li, R.C., Cheung, S.K.S., Ng, P.H.F., Wong, LP., Wang, F.L. (eds) Blended Learning: Engaging Students in the New Normal Era. ICBL 2022. Lecture Notes in Computer Science, vol 13357 (p.135 – 146). Springer, Cham. https://doi.org/10.1007/978-3-031-08939-8_12

_{Research output : Chapter in book/report/conference proceeding › Conference proceeding › peer-review}

Reducing the Use of Disposable Plastics through Public Engagement Campaigns: An Experimental Study of the Effectiveness of Message Appeals, Modalities, and Sources.

Skoric M., Zhang N., Kasadha J., Tse CH, Liu J., Jul 2022, In: International Journal of Environmental Research and Public Health, 19(14), 8273. https://doi.org/10.3390/ijerph19148273

_{Research output : Contribution to journal › Journal article › peer-review}

Electoral and Public Opinion Forecasts with Social Media Data: A Meta-Analysis

Skoric, M. M., Liu, J. & Jaidka, K., March 2020, In:Information. 11(4), 187. https://doi.org/10.3390/info11040187
_{Research output : Contribution to journal › Journal article › peer-review}

Social Media and Electoral Predictions: A meta-analytic review

Skoric, M. M., Liu, J. & Jaidka, K., Jun 2019, In: Pucihar, A., Borštnar, M. K. & Bons, R. (eds.). Proceedings of 32nd Bled eConference – Humanizing Technology for a Sustainable Society, vol. BeC 32 (p.764-781). University of Maribor Press. https://doi.org/10.18690/978-961-286-280-0
_{Research output : Chapter in book/report/conference proceeding › Conference proceeding › peer-review}

How to play the game of intellectual property rights in China: the impact of party affiliation and media location on the use of media frames

Liu, J. & Yao, Z., Jul 2015, In:Asian Journal of Communication. 25(4), 371-392. https://doi.org/10.1080/01292986.2014.968593
_{Research output : Contribution to journal › Journal article › peer-review}

Teaching Development Grant (TDG/2425/01)

Applying Generative AI in Teaching Coding to Non-STEM Students

Co-investigator

School Award for Outstanding Performance in Teaching (Individual)

LIU Jing (Recipient), 2026

Award

Fellow of the Higher Education Academy, Advance HE

LIU Jing (Recipient), 2026

Fellowship

Revisiting Pedagogical Agents in the Era of Large Language Models: From Social Agency to Social Interdependence

Li, C., Jia, Y., Ng, P.H.F., Liu, J., Li, Q. , Aug 2026, The 19^th International Conference on Blended Learning, Beijing, PRC.