The Centre for the Science of Learning & Technology (SLATE) has had four papers accepted to the 15th annual International Conference on Learning Analytics & Knowledge (LAK25).

The International Conference on Learning Analytics & Knowledge (LAK) is the premier research forum in the field, providing common ground for all stakeholders in the design of analytics systems to debate the state of the art at the intersection of Learning and Analytics. This includes researchers, educators, instructional designers, data scientists, software developers, institutional leaders and governmental policy makers.

The theme for the 15th annual LAK conference is Expanding the Horizons of Learning Analytics.

Our SLATE colleagues behind the four papers accepted to LAK25:

• Senior Researcher Mohammad Khalil,

• PhD Candidate Qinyi Liu,

• PhD Candidate Farhad Vadiee,

• Researcher Ronas Shakya,

• Professor II at SLATE, Jelena Jovanovic (Professor at the Department of Software Engineering, University of Belgrade, Serbia).

Congratulations to our colleagues!

Jelena Jovanovic is also a Program Chair in the Organization Committee for LAK25, while Mohammad Khalil contributes to organizing the LAK25 workshop called "CROSSMMLA: Multimodal Learning Analytics in the Age of GenAI" on March 3rd.

LAK25 will take place in Dublin, Ireland on Wednesday March 3rd – Friday March 7th. Register here.

The four papers:

• Khalil, M., Vadiee, F., Shakya, R., & Liu, Q. (2025) Creating Artificial Students that Never Existed: Leveraging Large Language Models and CTGANs for Synthetic Data Generation. In LAK25: The 15th International Learning Analytics and Knowledge Conference (LAK 2025), Dublin, Ireland. ACM. (2025) https://arxiv.org/abs/2501.01793

• Liu, Q., Shakya, R., Khalil, M., & Jovanovic, J. (2025). Advancing privacy in learning analytics using differential privacy. In LAK25: The 15th International Learning Analytics and Knowledge Conference (LAK 2025), Dublin, Ireland. ACM. (2025) https://arxiv.org/abs/2501.01786

• Khalil, M. & Prinsloo, P.  (2025) The lack of generalisability in learning analytics research: why, how does it matter, and where to? In LAK25: The 15th International Learning Analytics and Knowledge Conference (LAK 2025), Dublin, Ireland. ACM. (2025) https://doi.org/10.1145/3706468.3706489

• Liu, Q., Deho, O., Vadiee, F., Khalil, M, Joksimovic, S., & Siemens, G. (2025) Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms. In LAK25: The 15th International Learning Analytics and Knowledge Conference (LAK 2025), March 03--07, 2025, Dublin, Ireland. ACM, New York, NY, USA 10 Pages. https://doi.org/10.1145/3706468.3706546