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Research Insight: Knowledge Tracing
Congratulations to our PhD researcher Mehrnoush Mohammadi who recently presented at the 26th International Conference on Artificial Intelligence in Education (AIED2025) 22-26 July 2025 in Palermo, Italy. This year’s conference theme was AI as a catalyst for inclusive, personalised, & ethical education, to empower teachers & students for an equitable future. Full details and link […]
Congratulations to our PhD researcher Mehrnoush Mohammadi who recently presented at the 26th International Conference on Artificial Intelligence in Education (AIED2025) 22-26 July 2025 in Palermo, Italy. This year’s conference theme was AI as a catalyst for inclusive, personalised, & ethical education, to empower teachers & students for an equitable future. Full details and link to paper below.
“I had the opportunity to present a poster our accepted paper: “Knowledge Tracing with A Temporal Hypergraph Memory Network“.
Research Spotlight: This work presents THMN, a Temporal Hypergraph Memory Network, a hybrid Knowledge Tracing model that combines memory-augmented networks with temporal hypergraph reasoning to capture dynamic, high-order concept interactions over time. By modeling how a student’s understanding of concepts shifts across diverse question contexts and scaling updates based on practice diversity, THMN delivers composition-aware, interpretable predictions and consistently outperforms state-of-the-art KT models across four benchmark datasets.
It was an incredible experience connecting with researchers, exchanging ideas, and sharing our work with the global AI in Education community.
Special thanks to my amazing co-authors Dr.Kamal Berahmand, CIRES Centre Director Prof. Shazia Sadiq, and CIRES Chief Investigator, Dr. Hassan Khosravi, for their incredible collaboration, and to the AIED community for the warm welcome and insightful feedback.”