Research groups
Research
Hello, I'm a Ph.D. candidate from the Centre for the science of learning & technology, University of Bergen, Norway. My research focuses on using artificial intelligence and data-driven tools (e.g., generative AI, Privacy-Perserving Machine Learning) to address privacy and data protection issues in learning analytics and to build trustworthy learning analytics.
Teaching
Generative AI for Synthetic Data: Applications in Machine Learning,
Norwegian Artificial Intelligence Research Consortium Summer School, 2025
IGSIN919V Introduction to practical machine learning, University of Bergen
IGSIN919 Introduction to practical machine learning, University of Bergen
Publications
Academic book chapter
- Qinyi Liu; Ronas Shakya; Mohammad Khalil et al. (2025). Advancing privacy in learning analytics using differential privacy. (external link)
- Qinyi Liu; Mohammad Khalil; Jelena Jovanovic et al. (2024). Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics. (external link)
Conference poster
- Qinyi Liu; Mohammad Khalil (2023). A detail survey of identified privacy and data protection issues for learning analytics. (external link)
- Qinyi Liu; Mohammad Khalil (2023). Neuroscience Inspired Artificial Working Memory. (external link)
- Qinyi Liu; Andre Rabello Mestre; Mohammad Khalil (2023). Perspectives of Multimodal Data Sharing and Privacyin VR Learning Rooms. (external link)
Academic literature review
- Elissavet Papageorgiou; Jacqueline Wong; Qinyi Liu et al. (2025). A Systematic Review on Student Engagement in Undergraduate Mathematics: Conceptualization, Measurement, and Learning Outcomes. (external link)
- Javier de La Hoz-Ruiz; Mohammad Khalil; Jesús Domingo Segovia et al. (2024). Learning analytics for enhanced professional capital development: a systematic review. (external link)