I am currently supervising several doctoral students in the field of educational technology (e.g., AI and XR). These students come from diverse backgrounds including biology, computer science, languages, mathematics, vocational education, and more, and all show great promise and brilliance in their work.

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I am particularly interested in potential candidates with a background in computer science or with extensive industry experience. Fluency in Korean would be an added advantage for potential candidates looking to join my team.  See the program here.

2025

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• ​​Xiong, Z., Wu, J. G., & Lee, K. W. (2025). Research trends and hotspots of digital game-based vocabulary learning (2008-2023). IJCALLT. (ESCI & Scopus, Q1)

• Li, Y. Q., Chen, Y. T., & Wu. J. G. (2025). A qualitative interview study on the training needs analysis (TNA) of clinical thinking ability. Lecture notes in educational technology. Springer.

• Xiong, Z., Wu, J. G., & Zou, D. (2025). Mapping the digital game-based vocabulary learning landscape: A comprehensive bibliometric exploration. In Teng, F., Kukulska-Hulme, A., & Wu, J. G. (Eds.), Theory and practice in vocabulary research in digital environments. Routledge.​

 

2024

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• Xian, J., Wu, J.G., Zhang, D., & Jiang, S. (2024). A review of artificial intelligence in STEM education from 2016 to 2023. Global Chinese Conference on Computers in Education 2024, 1-9. 

• Xian, J., & Yong, X. (2024). Format effectiveness of a conversational chatbot for learning abstract concepts in Biology courses: A multicenter, controlled, randomized trialamong beginners. In GCCCE 2024 Doctoral Student Forum Proceedings, 43-46.

• Xiong, Z., & Wu, J. G. (2024). Digital game-based learning: The impact on foreign language anxiety and vocabulary learning. In GCCCE 2024 Doctoral Student Forum Proceedings, 30-33.​