Research Student Profiles

Mr WANG, Deliang

Human Communication, Development, and Information Sciences

Programme of Study: PhD

Field of Study: Educational Technology

Email Address: wdeliang@connect.hku.hk

Office: Room 525, Meng Wah Complex


About Me:
I graduated from Ocean University of China (OUC) and Beijing Normal University (BNU). Currently, I am a HKUer.

I used to conduct research on deep learning based knowledge tracing models and their interpretation. Now I am still interested in artificial intelligence in education (AIED) and explainable artificial intelligence in education. Feel free to contact me if you want to collaborate!


Current Research:
AI for Classroom Discourse;
AIED;
Explainable AIED


Primary Supervisor: Professor CHEN, Gaowei

Co-supervisor(s): Professor FENG, Shihui


Research Outputs:
Wang, D., Lu, Y., Zhang, Z., & Chen, P. (2023, 12). An Efficient and Generic Method for Interpreting Deep Learning based Knowledge Tracing Models. Proceedings of the 31st International Conference on Computers in Education, ICCE2023, Japan.

Wang, D., Tao, Y., & Chen, G. (2024). Artificial intelligence in classroom discourse: A systematic review of the past decade. International Journal of Educational Research, 123.

Wang, D., Tao, Y., & Chen, G. (2023, 6). The Talk Move Patterns of Teacher-Student Interactions in K-12 Mathematics Lessons: An Analysis Based on the TalkMoves Dataset. Proceedings of the 17th International Conference of the Learning Sciences-ICLS 2023.

Guo, K., & Wang, D*. (2023). To resist it or to embrace it? Examining ChatGPT’s potential to support teacher feedback in EFL writing. Education and Information Technologies.

Zheng, Y., Li, X., Li, Y., Wang, D., & Bao, H. (2023). Personalized learning path recommendation from the perspective of artificial intelligence: mechanism, evolution, value and trend [人工智能视域下个性化学习路径推荐:机理、演进、价值与趋势]. Modern Distance Education [现代远距离教育].

Yu, J., Liu, Z., Tian, M., Wang, D., & Lu, Y. (2023, 7). A Multimodal Language Learning System for Chinese Character Using Foundation Model. Proceedings of the 16th International Conference on Educational Data Mining, EDM2023.

Wang, D., Shan, D., Zheng, Y., Guo, K., & Chen, G. (2023, 7). Can ChatGPT Detect Student Talk Moves in Classroom Discourse? A Preliminary Comparison with Bert. Proceedings of the 16th International Conference on Educational Data Mining, EDM2023.

Shan, D., Wang, D*., Zhang, C., Kao, B., & Chan, C. (2023, 7). Annotating Educational Dialog Act with Data Augmentation in Online One-on-One Tutoring. Proceedings of the 24th International Conference on Artificial Intelligence in Education, AIED2023.

Wang, D*., Shan, D., Zheng, Y., & Chen, G. (2023, 7). Teacher Talk Moves in K12 Mathematics Lessons: Automatic Identification, Prediction Explanation, and Characteristic Exploration. Proceedings of the 24th International Conference on Artificial Intelligence in Education, AIED223.

Lu, Y., Wang, D., Chen, P., Meng, Q., & Yu, S. (2022). Interpreting deep learning models for knowledge tracing. International Journal of Artificial Intelligence in Education, 1-24.

Lu, Y., Zhang, Z., Wang, D., Chen, P., & Yu, S. (2022). The study on the application mode of explainable artificial intelligent in education [可解释人工智能在教育中的应用模式研究]. China Educational Technology [中国电化教育], 08, 9-15.

Wang, D., Lu, Y., Zhang, Z., & Chen, P. (2022). A generic interpreting method for knowledge tracing models. Proceedings of the 23rd International Conference on Artificial Intelligence in Education, AIED 2022.

Lu, Y., Wang, D*., Meng, Q., & Chen, P. (2021). Does large dataset matter? An evaluation on the interpreting method for knowledge tracing. Proceeding of the 29th International Conference on Computers in Education, ICCE 2021.

Lu, Y., Wang, D., Zhang, Z., Chen, P., & Yu, S. (2021). Review of knowledge tracing models in intelligent tutoring systems [智能导学系统中的知识追踪建模综述]. Modern Educational Technology [现代教育技术], 31(11), 87-95.

Lu, Y., Wang, D., Meng, Q., & Chen, P. (2020). Towards interpretable deep learning models for knowledge tracing. Proceeding of the 21st International Conference on Artificial Intelligence in Education, AIED 2020.

Bian, C., Wang, D., Liu, S., Lu, W., & Dong, J. (2019). Adaptive learning path recommendation based on graph theory and an improved immune algorithm. KSII Transactions on Internet and Information Systems, 13(5), 2277-2298.

Bian, C., Wang, D., Liu, S., Zhang, Y., & Lu, W. (2018). Inferring academic emotion in online learning based on spontaneous facial expression. Proceeding of the 26th International Conference on Computers in Education, ICCE 2018.