The University of Hong Kong

Yiming Liu

Professional summary

I am Yiming Liu, a final-year Ph.D. candidate at the Faculty of Education at the University of Hong Kong. My doctoral dissertation focuses on using computational psychometrics to assess primary school students' collaborative problem-solving (CPS) skills in a 3D multiplayer online role-playing mobile game.

Send email Google Scholar View CV (PDF)

Scholar metrics

View profile →

— Citations
— h-index
— i10-index

Auto-updated daily at 8:00 AM HKT from Google Scholar

Education

2026 Ph.D., Educational Technology and Assessment, The University of Hong Kong, Hong Kong

Dissertation: Game-based assessment of collaborative problem solving skills for primary school students

Supervisors: Prof. Nancy Law & Prof. Xiao Hu

2019 M.S., Educational Technology, National Yang Ming Chiao Tung University, Taiwan

Master' thesis: Mediation analyses of the relationships among online self-regulated learning, engagement, and cognitive load: The case of an online learning environment integrated with online self-regulated learning strategies and instant feedback

Advisor: Prof. Jerry Chih-Yuan Sun

2016 B.A., Chinese Language and Literature, Jinan University, Guangdong

2016 B.A., Finance (double major), Jinan University, Guangdong

Research Interests

Learning analytics

Computational psychometrics

Game-based assessment/learning

Self-regulated learning

Collaborative problem solving

AI in education

Research Output

* Denotes corresponding author.

[1] Liu, Y., Hu, X., Ng, J. T. D., Ma, Z., & Lai, X. (2025). Ready or not? Investigating in-service teachers' integration of learning analytics dashboard for assessing students' collaborative problem solving in K–12 classrooms. Education and Information Technologies. [SSCI, JCR Q1, IF = 5.4]

https://doi.org/10.1007/s10639-024-12842-5

[2] Liu, Y., Huang, L., & Doleck, T. (2024). How teachers' self-regulation, emotions, perceptions, and experiences predict their capacities for learning analytics dashboard: A Bayesian approach. Education and Information Technologies. [SSCI, JCR Q1, IF = 5.4]

https://doi.org/10.1007/s10639-023-12163-z

[3] Liu, Y., Ng, J. T. D., Hu, X., Ma, Z., & Lai, X. (2024). Adopt or abandon: Facilitators and barriers of in-service teachers' integration of game learning analytics in K–12 classrooms?. Computers & Education. [SSCI/SCIE, JCR Q1, IF = 10.5]

https://doi.org/10.1016/j.compedu.2023.104951

[4] Liu, Y., Sun, J. C. Y., & Chen, S. K. (2023). Comparing technology acceptance of AR-based and 3D map-based mobile library applications: A multigroup SEM analysis. Interactive Learning Environments. [SSCI, JCR Q1, IF = 5.3]

https://doi.org/10.1080/10494820.2021.1955271

[5] Sun, J. C. Y., Liu, Y.*, Lin, X., & Hu, X. (2023). Temporal learning analytics to explore traces of self-regulated learning behaviors and their associations with learning performance, cognitive load, and student engagement in an asynchronous online course. Frontiers in Psychology. [SSCI, JCR Q1, IF = 2.9]

https://doi.org/10.3389/fpsyg.2022.1096337

[6] Sun, J. C. Y., & Liu, Y*. (2021). The mediation effect of online self-regulated learning between engagement and cognitive load: A case of an online course with smart instant feedback. International Journal of Online Pedagogy and Course Design. [ESCI, JCR Q3, IF = 0.6]

http://dx.doi.org/10.4018/IJOPCD.295953

[1] Liu, Y., Hu, X., & Ma, Z. (In press). Psychometric network analysis of K-12 teachers' integration of learning analytics dashboard for collaborative problem solving assessment [Paper presentation]. The 26th IEEE International Conference on Advanced Learning Technologies (ICALT 2026), Hung Yen, Vietnam.

[2] Liu, Y., Ma, Z., Ng, J. T. D., & Hu, X. (2025, March). Multimodal learning analytics for game-based assessment of collaborative problem solving skills among young students [Paper presentation]. The 15th International Learning Analytics and Knowledge Conference (LAK '25), Dublin, Ireland. [Acceptance rate ≈ 30%, University Research Committee Grant]

https://doi.org/10.1145/3706468.3706555

[3] Liu, Y., Ng, J. T. D., Hu, X., & Ma, Z. (2024, July). Towards multimodal learning analytics of game-based collaborative problem solving among primary school students [Paper presentation]. The 24th IEEE International Conference on Advanced Learning Technologies (ICALT 2024), Nicosia, North Cyprus. [IEEE TCLT Student Award]

https://doi.org/10.1109/ICALT61570.2024.00035

[4] Ng, J. T. D., Liu, Y., Chui, D. S., Man, J. C., & Hu, X. (2023, March). Leveraging LMS logs to analyze self-regulated learning behaviors in a maker-based course [Paper presentation]. The13th International Learning Analytics and Knowledge Conference (LAK '23), Arlington, USA. [Acceptance rate ≈ 30%]

https://doi.org/10.1145/3576050.3576111

[5] Liu, Y., Sun, J. C. Y. (2021, July). The mediation effects of task strategies on the relationship between engagement and cognitive load in a smart instant feedback system [Paper presentation]. The 21st IEEE International Conference on Advanced Learning Technologies (ICALT 2021), Online. [Finalist for Best Short Paper, IEEE TCLT Student Award]

https://doi.org/10.1109/ICALT52272.2021.00065

[6] Tsang, H. W. C., Liu, Y., & Law, N. W. Y. (2020, June). An in-depth study of assessment of collaborative problem solving (CPS) skills of students in both technological and authentic learning settings [Paper presentation]. The 14th International Conference of the Learning Sciences (ICLS 2020), Nashville, USA. [Acceptance rate ≈ 30%]

https://repository.isls.org//handle/1/6340

Research Experience (Selected)

Worked on the Theme-based Research Scheme (TRS) titled Learning and Assessment for Digital Citizenship (PI: Prof. Nancy Law) at the Faculty of Education, University of Hong Kong

Co-developed Digital City Fighter, a 3D multiplayer mobile role-playing game designed to assess primary school students' collaborative problem solving skills.

Co-developed CPSLens, a learning analytics dashboard enabling teachers to visualize and evaluate students' in-game collaborative problem solving performance.

Wrote the research proposal (supervised by Prof. Nancy Law and Prof. Xiao Hu), which included:

Conducting extensive literature reviews and formulating research questions.
Establishing theoretical frameworks and devising a multimodal coding scheme.
Adopting evidence-centered design and developing the experimental protocol.

Conducted in-school experiments, collecting multimodal data from 100 teams (N = 400 students), including log files, verbal communications, and survey responses.

Teaching Experience

Guest Lecturer | College of Information Science

The University of Arizona | Spring 2026

Invited to deliver a lecture titled "From Theory to Application: Unlocking 21st-Century Skills with Computational Psychometrics" for the graduate-level course, INFO505: Foundations of Information.

Guest Lecturer | Department of Curriculum and Instruction

The Education University of Hong Kong | Fall 2025

Invited to deliver a lecture titled "From Theory to Application: Unlocking 21st-Century Skills with Computational Psychometrics" for the graduate-level course, EDT6001: Digital Leadership and Technologies to Transform Instruction, Learning and Evaluation.

Guest Lecturer | Department of Curriculum and Instruction

The Education University of Hong Kong | Fall 2023

Invited to deliver a lecture titled "Game-based Assessment of Collaborative Problem Solving among Young Students" for the graduate-level course, TLS6088: Effective Teaching and Learning Using Mobile Technologies.

Teaching Assistant | Faculty of Education

The University of Hong Kong | Spring 2022

Assisted supervision of undergraduates' final-year projects on research design, data cleaning and coding, statistical analysis, and thesis writing.

Teaching Assistant | Institute of Education

National Yang Ming Chiao Tung University | 2017 – 2019

Led tutorials, assisted in lecture preparation, provided feedback to students, and marked assignments for the following courses:

Instructional Media and Operations (teacher education program)
Application of Emerging Technologies in Education (graduate-level)
Learning How to Learn (ewant platform version)

Professional Services

Ad Hoc Journal Reviewer

Computers and Education

[SSCI, JCR 2024: Q1, Rank: 5/762 in Education & Educational Research, IF = 10.5]

British Journal of Educational Technology

[SSCI, JCR 2024: Q1, Rank: 7/762 in Education & Educational Research, IF = 8.1]

Education and Information Technologies

[SSCI, JCR 2024: Q1, Rank: 22/762 in Education & Educational Research, IF = 5.4]

IEEE Transactions on Learning Technologies

[SSCI, JCR 2024: Q1, Rank: 27/762 in Education & Educational Research, IF = 4.9]

Asia-Pacific Education Researcher

[SSCI, JCR 2024: Q1, Rank: 37/762 in Education & Educational Research, IF = 4.6]

Thinking Skills and Creativity

[SSCI, JCR 2024: Q1, Rank: 41/762 in Education & Educational Research, IF = 4.5]

Australasian Journal of Educational Technology

[SSCI, JCR 2024: Q1, Rank: 45/762 in Education & Educational Research, IF = 4.2]

Knowledge Management & E-Learning-An International Journal

[ESCI, JCR 2024: Q1, Rank: 111/762 in Education & Educational Research, IF = 2.8]

Information Development

[SSCI, JCR 2024: Q2, Rank: 60/166 in Information Science & Library Science, IF = 2.1]

Conference Reviewer

The 25th IEEE International Conference on Advanced Learning Technologies (ICALT 2025)
The 14th International Learning Analytics and Knowledge Conference (LAK '24)
The 24th ACM/IEEE Joint Conference on Digital Libraries (JCDL '24)

Session Chair

The 24th IEEE International Conference on Advanced Learning Technologies (ICALT 2024)
Session on "Big Data in Education and Learning Analytics"

Program Committee Member

The 30th Global Chinese Conference on Computers in Education (GCCCE 2026)
C3: Joyful Learning, Educational Games, and Digital Toys
The 29th Global Chinese Conference on Computers in Education (GCCCE 2025)
C1: Learning Sciences & Computer-Supported Collaborative Learning
The 25th IEEE International Conference on Advanced Learning Technologies (ICALT 2025)
Track 6: Big Data in Education and Learning Analytics
The 14th International Learning Analytics and Knowledge Conference (LAK '24)
LAK24 – Posters
The 24th ACM/IEEE Joint Conference on Digital Libraries (JCDL '24)
Research Paper

Community Membership

The National Council on Measurement in Education (NCME)
The Society for Learning Analytics Research (SoLAR)
The Asia-Pacific Society for Computers in Education (APSCE)
Special Interest Group 5: Educational Gamification and Game-based Learning
The IEEE Computer Society
Technical Committee on Learning Technology

Conference & Workshop Volunteer

The 24th ACM/IEEE Joint Conference on Digital Libraries (JCDL '24)
The University of Hong Kong-East China Normal University Joint Workshop (HKU-ECNU 2023)

Honors & Awards

2025, University Research Committee Conference Grant, The University of Hong Kong (to present at LAK '25)

2024, IEEE TCLT Student Award, IEEE Technical Committee on Learning Technology (to present at ICALT 2024)

2023, University Research Committee International Academic Training Grant, The University of Hong Kong (for the Statistical Horizons workshop on Network Psychometrics)

2021, Finalist for Best Short Paper, IEEE Technical Committee on Learning Technology (at ICALT 2021)

2021, IEEE TCLT Student Award, IEEE Technical Committee on Learning Technology (to present at ICALT 2021)

2021, Erik Duval Travel Scholarship, The Society for Learning Analytics Research (for the Learning Analytics Summer Institute)

2019 – 2023, Postgraduate Scholarship, The University of Hong Kong

2018, International Academic Conference Grant, Ministry of Science and Technology (Taiwan) (to present at GCCCE 2018)

2017 – 2018, Outstanding Student Scholarship, National Yang Ming Chiao Tung University

2016 – 2017, Excellent Student Scholarship, National Yang Ming Chiao Tung University

Quantitative Analysis Expertise

Extensive training and hands-on experience in the following quantitative methods:

Foundational & linear models

t-test, ANOVA (e.g., factorial, repeated measures), ANCOVA, MANOVA, Chi-square test
Correlation, Linear regression, Logistic regression, Path analysis

Latent variable modeling

Covariance-based SEM, Partial least squares SEM, Exploratory SEM, IRT
Latent profile analysis, Latent class analysis, Latent class auxiliary model

Modeling dependent & complex data structure

Hierarchical linear modeling, Multilevel SEM, Latent growth modeling
Sequence analysis, Sequence mining, Lag sequential analysis
Process mining, Process data analysis, Hidden Markov models

Network analysis & modeling

Epistemic network analysis, Ordered network analysis
Psychometric network analysis, Exploratory graph analysis
Social network analysis

Machine learning & data mining

Classification & prediction (e.g., Support vector machines, Random forests)
Clustering (e.g., Hierarchical clustering, K-means, Sequence clustering)
Text mining (e.g., Text classification with large language models)

Bayesian statistical inference

Bayesian linear models (e.g., ANOVA, regression)
Bayesian SEM, Bayesian mixture modeling
Bayesian multilevel modeling
Bayesian networks

Meta-analysis

Conventional meta-analysis, Meta-analytic SEM, Meta-analytic network models

Data visualization

Categoric data (e.g., Circular barplot, Lollipop, Spider/Radar plot)
Numeric data (e.g., Box plot, Heatmap, Histogram, Scatter plot)
Relational data (e.g., Dendrogram, Network, Sankey diagram)
Temporal data (e.g., Barplot, Line chart, Stacked area graph)

Technical skills

R, Mplus, Smart-PLS, SPSS, Netica, Python, Figma

Professional Training (Selected)

Retain lecture materials, notes, and key papers for each training, enabling me to revisit previous training whenever needed.

Workshops

2026, Item generation and validation with large language models
2026, Meta-analytic structural equation modeling
2025, From ideas to impact: Research and publishing in technology-enhanced learning
2024, Text classification with large language models
2023, Quantitative ethnography masterclass
2023, Multilevel structural equation modeling
2023, Exploratory graph analysis
2023, Psychometric network analysis
2023, Bayesian statistics for social and health science
2023, Bayesian structural equation modeling
2023, Introduction to Bayesian networks
2023, Finite mixture modeling
2023, Machine learning
2022, Network analysis
2022, Meta-analysis
2021, Temporal and sequential analysis for learning analytics
2021, An introduction to methodologies in learning analytics
2021, Systematizing analytics with serious games
2021, Addressing the data challenges from next-generation assessments: Data science upskilling for psychometrician
2021, Statistical learning of process data: Methods, software, and applications
2021, Bayesian networks in educational assessment
2021, Bayesian statistical modeling
2021, Big data mining with R
2021, Text mining with R
2020, Using Stan for Bayesian psychometric modeling
2020, Cognitive diagnosis modeling

Courses

2021, Social network analysis
2020, Professional certificate in teaching and learning in higher education
2020, Item response theory
2019, Text analytics in education
2019, Data science and learning analytics
2019, Longitudinal methods: Measurement and data analysis
2018, Special topic in advanced structural equation modeling
2017, Structural equation modeling
2017, Applied multivariate analysis
2017, Research on educational testing and measurement
2016, Research on advanced educational statistics
2016, Introduction to educational statistics

Curriculum vitae (PDF)

Same document as View CV (PDF) in the header area. If the preview does not load in your browser, use “Open in new tab” — some mobile browsers only support download.

PDF

Last updated Apr 28, 2026.

Download PDF Open in new tab

Contact

Email: eduliuym@connect.hku.hk

WeChat: liuym110408