alexchen Chen Sio In2026-02-03T11:38:14+08:00

Affiliation
Faculty of Education
University of Macau
Accepting applications from PhD/EdD students
txliu@um.edu.mo
Tel
(853) 8822 4841
Fax
(853) 8822 2402
Office
Room 3007, Faculty of Education,
University of Macau, E33,
Av. da Universidade, Taipa, Macau, China
Tongxi LIU 劉桐汐
| Assistant Professor |
| Faculty of Education, University of Macau |
Academic Qualifications
- Ph.D. Educational Technology, College of Education, University of Florida, USA
- M.Sc. Computer Science, College of Engineering, University of Florida, USA
Professional Qualifications
- Research Assistant Professor (2023-2025), Hong Kong Baptist University, HK
Research Area
- Learning analytics & Educational data mining
- AI in education
- Generative AI
- Computer science education
- Educational technology
- Neurodiversity
Selected Publications
- Liu, T., Ye, L., Du, H. (2026, April). From Scores to Structures: Causal Interpretability of LLM-Based Essay Evaluation. The 16th International Conference on Learning Analytics & Knowledge, Bergen.
- Liu, T., Deng, L., & Zhou, Y. (2025). Unpacking Self-Regulation and Social Interaction in “Study With Me” Videos through Large-Scale Analytics. Computers & Education, 105488.
- Liu, T. (2024). Relationships between executive functions and computational thinking. Journal of Educational Computing Research, 62(5), 1267–1301.
- Liu, T. (2024). Assessing implicit computational thinking in game-based learning: A logical puzzle game study. British Journal of Educational Technology, 55, 2357–2382.
- Liu, T. (2024). Examining the impact of variations in executive functions on students’ problem-solving behaviors. IEEE Access: IEEE Education Society Section. vol. 12, pp. 185894-185904.
- Ishida, T., Liu, T., & Wang, H. (2024, November). Facilitating holistic evaluations with LLMs: insights from scenario-based experiments. In The 32nd International Conference on Computers in Education, ICCE 2024. Asia-Pacific Society for Computers in Education.
- Liu, T., & Israel, M. (2022). Uncovering students’ problem-solving processes in game-based learning environments. Computers & Education, 104462.
- Liu, T. (2022). Knowledge tracing: a bibliometric analysis. Computers and Education: Artificial Intelligence, 100090.
- Israel, M., Liu, T., Moon, J., Ke, F., & Dahlstrom-Hakki, I. (2021, July). Methodological considerations for understanding students’ problem solving processes and affective trajectories during game-based learning: a data fusion approach. In HCI in Games: Serious and Immersive Games (pp. 201-215). Springer International Publishing.
Conference Presentations
- Liu, T. (2025, April). Assessing “study with me” videos as effective learning environments with sentiment analysis and topic modeling. The American Educational Research Association (AERA) Annual Meeting, Colorado.
- Du, H., Udokop, D., Pei, B., Liu, T. (2025, April). Examining the effectiveness of live coding in introductory programming courses. The American Educational Research Association (AERA) Annual Meeting, Colorado.
- Deng, L., Liu, T., & Zhou, Y. (2024, July). Learning with social media: examining “study with me” videos on YouTube. International Conference on Social Media & Society, London.
- Yan, W., Liu, T., Weisberg, L., Ramirez-Salgado, A., & Israel, M. (2024, April). Middle school students’ computational problem-solving behaviors in a game-based environment. Poster Section at The American Educational Research Association (AERA) Annual Meeting, Virtual.
- Liu, T., & Yan, W. (2023, October). Investigating students’ computational problem-solving processes using Hidden Markov model and video analysis. Association for Educational Communications and Technology (AECT) 2023 International Convention, Virtual.
- Liu, T. (2022, March). Using gameplay data to investigate students’ problem-solving behaviors in zoombinis. In Companion Proceedings of the 11th International Conference on Learning Analytics & Knowledge (pp. 33-35). Society for Learning Analytics Research (SoLAR).
- Yan, W., Israel, M., & Liu, T. (2021, August). Elementary students’ debugging behaviors in a game-based environment. In Proceedings of the 17th ACM Conference on International Computing Education Research (pp. 441-442).
- Israel, M., & Liu, T. (2021, April). Detecting learners’ frustration based on their performance in game-based learning activities. Paper Session at The American Educational Research Association (AERA) Annual Meeting, Virtual.
- Liu, T., & Israel, M. (2020, July). Emotional experience of elementary students in online computer programming. Association for Educational Communications and Technology (AECT) Summer Research Symposium, Virtual.
Grants and Contracts
- Start-Up Grant at HKBU Principal Investigator HK$200,000
Streamlining causal insights: improving educational efficiency through advanced relationship analysis.
- GRF funded by RGC in Hong Kong (2026-2028) Co-Investigator HK$ 680,240
Empowering digital discernment: designing and testing real-time critical thinking nudges for adolescent social media news engagement.
Honors and Awards
- 2023-24 Outstanding Research Output Award HKBU HKD$50,000