• Ph.D. Educational Technology, College of Education, University of Florida, USA
• M.Sc. Computer Science, College of Engineering, University of Florida, USA

• Research Assistant Professor (2023-2025), Hong Kong Baptist University, HK

• Learning analytics & Educational data mining
• AI in education
• Generative AI
• Computer science education
• Educational technology
• Neurodiversity

• 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.

• 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.

• 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.