Tongxi Liu

Liu, T. (2024). Relationships between executive functions and computational thinking. Journal of Educational Computing Research .
[paper]  [journal info]

Liu, T. (2024). Assessing implicit computational thinking in game‐based learning: A logical puzzle game study. British Journal of Educational Technology.
[paper]  [journal info]

Liu, T., & Israel, M. (2022). Uncovering students' problem-solving processes in game-based learning environments. Computers & Education, 104462.
[paper]  [journal info]

Liu, T. (2022). Knowledge tracing: A bibliometric analysis. Computers and Education: Artificial Intelligence, 100090.
[paper]  [journal info]

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 International Conference on Human-Computer Interaction (pp. 201-215). Springer, Cham.
[paper]  [conference info]

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).
[paper]  [conference info]

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 (LAK22) (pp. 33-35). Society for Learning Analytics Research (SoLAR).
[paper]  [poster]  [conference info]

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.
[poster]

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) National 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) International Convention, Orlando.