Ronas Shakya

Position

Research Assistant, Learning Analytics

Affiliation

Research groups

Short info

I work on Learning Analytics and Data Science, using data and machine learning to improve education through personalized insights and predictive modeling. In addition, I work on synthetic data generation with deep learning (GANs, VAEs) to build realistic datasets while preserving privacy.
Teaching
Publications
Academic article
Academic chapter/article/Conference paper

See a complete overview of publications in Cristin.

Khalil, M., Shakya, R., Liu, Q., Ebner, M. (2024). How to Plan and Manage a Blended Learning Course Module Using Generative Artificial Intelligence?. In: Panda, S., Mishra, S., Misra, P.K. (eds) Case Studies on Blended Learning in Higher Education. Springer, Singapore. https://doi.org/10.1007/978-981-97-9388-4_4

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. ArXiv.org. https://arxiv.org/abs/2501.01793 

Liu, Q., Shakya, R., Khalil, M., & Jovanovic, J. (2025). Advancing privacy in learning analytics using differential privacy. ArXiv (Cornell University). https://doi.org/10.1145/3706468.3706493 

Projects

RIALHE - Remote Intelligent Access to Labs in Higher Education