Publications

Book

von Davier, A. A., Zhu, M., & Patrick, K. (2017). Innovative Assessment of Collaboration. Springer.

Refereed Journal Articles

1. Xu, N., Wang, X., Liu, J., Wang, L., Li, X., Zhu, M., Zhang, Y., & Liu, A.-A. (2025). Model Can Be Subtle: Two Important Mechanisms for Social Media Popularity Prediction. ACM Transactions on Multimedia Computing, Communications and Applications, 21(2), 1-20.

2. Zhu, M., Su, C.*, Hao, J., Liu, L., Kyllonen, P., & von Davier, A. (2024). Who Benefits from Virtual Collaboration? The Interplay of Team Member Expertness and Big Five Personality Traits. Humanities and Social Sciences Communications, 11(1), 1-15.

3. Liang, H., Qian, Y., Zhu, M., & Chen, Y.* (2024). Exploring the Role of Social Networks in Modeling Drivers’ Route Choice Behavior. Transportation Research Part F: Traffic Psychology and Behaviour, 104, 154-169.

4. Zhu, M., Su, R., Liu, L., & Contractor, N. (2024). Communicate or Not: Exploring the Different Effects of Instrumental and Expressive Networks on Thriving at Work. Journal of Management & Organization, Published online 2024:1-18. doi:10.1017/jmo.2024.5

5. Qiao, X., Wang, L., Wang, X., Zhu, M., Hu, B., Zhang, Y., & Liu, A.-A. (2024). Rumor Propagation Model with Neutral State. International Journal of Modern Physics C (IJMPC), 35(03), 1-17.

6. Ji, J., Hu, T., Chen, Z., & Zhu, M.* (2024). Exploring the Climate Change Discourse on Chinese Social Media and the Role of Social Bots. Asian Journal of Communication, 34(1), 109-128.

7. Song, L., Chen, Y., Zhang, B., & Zhu, M.* (2024). Inventory and Financing Decisions in Cross-Border E-Commerce: The Financing and Information Roles of a Bonded Warehouse. Expert Systems with Applications, 238, 121639.

8. Zhu, M., Liu, L.*, Su, R., & Contractor, N. S. (2023). Revisiting the Effects of Social Networks on Enterprise Collaboration Technology Use: A Fuzzy-set Qualitative Comparative Analysis Approach. Decision Support Systems, 174, 114017.

9. Song, Y., Zhu, M.*, & Sparks, J. (2023). Exploring the Role of Process Data Analysis in Understanding Student Performance and Interactive Behavior in a Game-based Argument Task. Journal of Educational Computing Research, 61(5), 1096–1120.

10. Zhu, M.*, Liu, O. L., & Lee, H.-S. (2020). Using Cluster Analysis to Explore Students’ Interactions with Automated Feedback in An Online Earth Science Task. The International Journal of Quantitative Research in Education, 5(2), 111-135.

11. Zhu, M.*, Liu, O. L., & Lee, H.-S. (2020). The Effect of Automated Feedback on Revision Behavior and Learning Gains in Formative Assessment of Scientific Argument Writing. Computers & Education, 143, 103668.

12. Zhu, M.*, Zhang, M., & Deane, P. (2019). Analysis of Keystroke Sequences in Writing Logs. ETS Research Report Series (RR-19-11).

13. Zhu, M.*, & Zhang, M. (2017). Network Analysis of Conversation Aata for Engineering Professional Skills Assessment. ETS Research Report Series (RR-17-59).

14. Shu, Z., Bergner, Y., Zhu, M., & Hao, J. (2017). An Item Response Theory Analysis of Problem-solving Processes in Scenario-based Tasks. Psychological Test and Assessment Modeling, 59(1), 109–131.

15. Zhu, M.*, Lee, H.-S., Wang, T., Liu, O. L., Belur, V., & Pallant, A. (2017). Investigating the Impact of Automated Feedback on Students’ Scientific Argumentation. International Journal of Science Education, 39(12), 1648–1668.

16. Zhu, M.*, Shu, Z., & von Davier, A. A. (2016). Using Networks to Visualize and Analyze Process Data for Educational Assessment. Journal of Educational Measurement, 53(2), 190–211.

17. Bergner, Y., Andrews, J. J., Zhu, M., & Gonzales, J. E. (2016). Agent-based modeling of collaborative problem solving. ETS Research Report Series (RR-16-27). Princeton, NJ.

18. Zhu, M., Huang, Y., & Contractor, N. S. (2013). Motivations for Self-assembling into Project Teams. Social Networks, 35(2), 251-264.

19. Xiao, W., Ren, J., Qi, F., Song, Z., Zhu, M., Yang, H., Jin, H., Wang, B, & Zhou, T. (2007). Empirical Study on Clique-degree Distribution of Networks. Physical Review E, 76:037102.

20. Zhu, M., & Cai, Q. (2004). Network Character of Coloring Problems. Computer Science, 31(7), 23-25 (in Chinese).

21. Zhu, M., Song, Z., & Cai Q. (2004). Simulated Annealing Based AER Model and Its Applications. Journal of Computer Software, 14(4), 537-544 (in Chinese).

Book Chapters

1. Zhu, M. (2021). Social Networks Analysis. In A. A. von Davier, B. Mislevy, & J. Hao (Eds.), Computational Psychometrics: New Methods for a New Generation of Educational Assessment (pp. 231–244). Springer. https://doi.org/https://doi.org/10.1007/978-3-030-74394-9_13

2. Zhu, M., Andrews-Todd, J., & Zhang, M. (2020). Application of Network Analysis in Understanding Collaborative Problem Solving Processes and Skills. In H. Jiao & R. W. Lissitz (Eds.), Innovative Psychometric Modeling and Methods (pp. 69–89). Charlotte, NC: Information Age Publisher.

3. Zhang, M., Zhu, M., Deane, P., & Guo, H. (2019). Identifying and Comparing Writing Process Patterns Using Keystroke Logs. In Quantitative Psychology: The 83nd Annual Meeting of the Psychometric Society, New York. New York: Springer.

4. Zhu, M., & Bergner, Y. (2017). Network Models for Teams with Overlapping Membership. In A. A. von Davier, M. Zhu, & P. Kyllonen (Eds.), Innovative Assessment of Collaboration. Springer.

5. Zhu, M., Kuskova, V., Wasserman, S., & Contractor, N. (2016). Correspondence Analysis of Multirelational Multilevel Network Affiliations: Analysis and Examples. In E. Lazega & T. Snijders (Eds.), Multilevel Network Analysis for the Social Sciences - Theory, Methods and Applications. Springer. 145–172.

Conference Proceedings

1. Zhu, M., Wang, X., Wang, X., Chen, Z., & Huang, W. (2024). Application of Prompt Learning Models in Identifying the Collaborative Problem Solving Skills in an Online Task. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW2), 1-23.

2. Zhu, M., Wang, X., Xu, Q., & Andrews-Todd, J. (2024). Behavior Sequence Patterns in Collaborative Problem Solving: A Multiple-Perspective Analysis. In Proceedings of the 17th International Conference on Computer-Supported Collaborative Learning-CSCL 2024, pp. 205-208. International Society of the Learning Sciences.

3. Xu, Q., Ge, Z., Zhu, M., Dou, Z., & Wang, J. (2024). Identification of Different Patterns in Solving Collaborative Jigsaw Puzzle Tasks Using Hidden Markov Models. Proceedings of the 17th International Conference on Computer-Supported Collaborative Learning-CSCL 2024, pp. 83-90. International Society of the Learning Sciences.

4. Chen, Z., Zhu, M.*, Wang, F., Shen, S., Huang, Z., Liu, Q. (2023). Long-term and Short-term Perception in Knowledge Tracing. CCF BigData 2023 (September 8-10, 2023). Nanjing, China.

5. Xu, Q., Chen, N., Tu, J., Liu, X., & Zhu, M.* (2023). Teaching Scientific Experiments through Online Video Lectures: An Eye-Tracking Research. Proceedings of the 13th IEEE Integrated STEM Education Conference (March 11, 2023). Laurel, MD, USA.

6. Xu, Q., Zhang, B., Wang, J., Liu, X., & Zhu, M.* (2023). A Collaborative Learning and Support System for STEM Education and Learning Analytics. Proceedings of the 13th IEEE Integrated STEM Education Conference (March 11, 2023). Laurel, MD, USA.

7. Zhu, M.*, Xu, Q.*, Dou, Z., Zhang, L., & Andrews‐Todd, J. (2023). Exploring the Interplay between Domain Knowledge and Collaborative Problem Solving Skills through User Profiling. Proceedings of the Third Annual Meeting of the International Society of the Learning Sciences (June 10-15, 2023). Montreal, Canada.

8. Li, J., Wang, F., Liu, Q., Zhu, M., Huang, W., Huang, Z., Chen, E., Su, Y., & Wang, S. (2022). HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 904–913. https://doi.org/10.1145/3534678.3539486

9. Chen, Z., Shen, J., Zhu, M.*, Hu, B., & Liu, A. (2022). Predicting Virtual Gifting Behaviors in Live Streaming Using Danmaku Information. Proceedings of the 8th International Conference on Big Data Computing and Communications (BigCom 2022), 190-198. https://doi.org/10.1109/BigCom57025.2022.00032

10. Bai, J., Hu, B., Zhu, M., Mao, Z., & Liu, A. (2022). GroupDiff: Exploring A Unified Graph Structure and High-order Interactions for Group Recommendation. Proceedings of the 8th International Conference on Big Data Computing and Communications (BigCom 2022), 276–284. https://doi.org/10.1109/BigCom57025.2022.00042

11. Zhu, M.*, & Todd, J. A. (2019). Understanding the Connections of Collaborative Problem Solving Skills in A Simulation-based Task through Network Analysis. In Proceedings of the International Conference on Computer Supported Collaborative Learning (CSCL 2019). Lyon, France.

12. Zhu, M.*, Liu, O. L., Mao, L., & Pallant, A. (2016). Use of Automated Scoring and Feedback in Online Interactive Earth Science Tasks. In Proceedings of the 2016 IEEE Integrated STEM Education Conference. Princeton, NJ.

13. Zhu, M.*, & Zhang, M. (2016). Examining the Patterns of Communication and Connections among Engineering Professional Skills in Group Discussion: A network analysis approach. In Proceedings of the 2016 IEEE Integrated STEM Education Conference. Princeton, NJ.

14. Zhu, M., Bergner, Y., Zhang, Y., Baker, R., Wang, Y., Paquette, L., & Barnes, T. (2016). Longitudinal Engagement, Performance, and Social Connectivity: a MOOC Case Study Using Exponential Random Graph Models. In Proceedings of the 6th International Learning Analytics and Knowledge Conference (LAK ’16). Edinburgh, UK:ACM.

15. Zhu, M., & Feng, G. (2015). An Exploratory Study Using Social Network Analysis to Model Eye Movements in Mathematics Problem Solving. In Proceedings of the 5th International Learning Analytics and Knowledge Conference (LAK ’15). Poughkeepsie, NY: ACM.

16. Huang, Y., Zhu, M., Wang, J., Pathak, N., Shen, C., Keegan, B., & Contractor, N. (2009). The formation of task-oriented groups: Exploring combat activities in online games. The 2009 IEEE International Conference on Social Computing (SociaICom-09), Vancouver, Canada.

17. Cai, Z., Zhu, M., & Wang, X. (2003). Design of A Web Query Language TWebSQL. 5th Joint  AEARU Workshop on Web Technology and Computer Science, Tsukuba, Japan.

18. Zhu, M., Cai, Z. & Cai, Q. (2003). Automatic Keywords Extraction of Chinese Document Using Small World Structure. 2003 IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE'03), Beijing.