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Qinyi Liu

Ph.D. Student
University of Bergen
qinyi.liu@uib.no or qinyi876@outlook.com


About Me

Hi! I’m Qinyi Liu. I am a PhD Candidate in the Centre for the Science of Learning & Technology (SLATE) at Univerisity of Bergen, working with Prof. Mohammad Khalil. During my PhD period, I also visited the University of South Australia and Monash University as a visiting scholar funded by Meltzerfondet.

I have an interdisciplinary background in computer science and social science, holding degrees in both fields. I pursued my master’s studies at the University of Edinburgh and the University of Liverpool. Previously, I received my Bachelor’s degree from Chongqing University. During my time at Edinburgh, I was part of the Covid-19 Response Governance Mapping Project. I also worked at the University of North Carolina at Chapel Hill with Joseph Tucker, where I contributed to website development and research dissemination.

Research Interests

My research interests are mainly in privacy-enhancing technology (PET) + learning analytics, aiming to utilizing state-of-arts privacy-enhancing technology to advance trustworthy AI for education, with a focus on develop and fine-tune domain specific PET for application.

🚀 If you see our research intersect, feel free to reach out — I am always open to discussing potential collaborations.

Publications

Conference Papers

  1. Advancing privacy in learning analytics using differential privacy
    Qinyi Liu, Mohammad Khalil, Ronas Shakya, Jelena Jovanovic
    LAK25: 15th International Learning Analytics and Knowledge Conference (2025)
    DOI [29% acceptance rate] [Best Paper Honorable Mention] [CORE-A]
  2. Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms
    Qinyi Liu, Oscar Deho, Farzad Vadiee, Mohammad Khalil, Srecko Joksimovic, George Siemens
    LAK25: 15th International Learning Analytics and Knowledge Conference (2025)
    DOI [29% acceptance rate] [CORE-A]
  3. Towards Privacy-Preserving Data-Driven Education: the Potential of Federated Learning
    Mohammad Khalil, Ronas Shakya, Qinyi Liu
    International Conference on New Trends In Computing Sciences (ICTCS), IEEE Xplore (2025)
    DOI
  4. Creating artificial students that never existed: Leveraging large language models and CTGANs for synthetic data generation
    M Khalil, F Vadiee, R Shakya, Qinyi Liu
    LAK25: 15th International Learning Analytics and Knowledge Conference (2025)
    DOI [29% acceptance rate] [CORE-A]
  5. Scaling While Privacy Preserving: a Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics
    Qinyi Liu, Mohammad Khalil, Ronas Shakya, Jelena Jovanovic
    LAK24: 14th International Learning Analytics and Knowledge Conference (2024)
    DOI [30% acceptance rate] [CORE-A]
  6. Explainable AI in Learning Analytics: Improving Predictive Models and Advancing Transparency and Trust
    Qinyi Liu, Mohammad Khalil
    2024 IEEE Global Engineering Education Conference (EDUCON), pp. 1–7 (2024)
    DOI

Journal Articles

  1. A systematic review on student engagement in undergraduate mathematics: Conceptualization, measurement, and learning outcomes
    Elissavet Papageorgiou, Jacqueline Wong, Qinyi Liu, Mohammad Khalil, Ana Cabo
    Educational Psychology Review (2025)
    DOI [IF=10.1] [SSCI]
  2. Ensuring privacy through synthetic data generation in education
    Qinyi Liu, Ronas Shakya, Jelena Jovanovic, Mohammad Khalil, Javier de la Hoz-Ruiz
    British Journal of Educational Technology, 00, 1–21 (2025)
    DOI [IF=6.7] [SSCI]
  3. Learning analytics for enhanced professional capital development: a systematic review
    Javier de La Hoz-Ruiz, Mohammad Khalil, Jesús Domingo Segovia, Qinyi Liu
    Frontiers in Psychology, 15 (2024)
    DOI [IF=3.8] [SSCI]
  4. Understanding privacy and data protection issues in learning analytics using a systematic review
    Qinyi Liu, Mohammad Khalil
    British Journal of Educational Technology, 54, 1715–1747 (2023)
    DOI [IF=6.7] [SSCI]

Book Chapters & Contributions to Edited Volumes

  1. AI for data generation in education: Towards learning and teaching support at scale [Editorial]
    Mohammad Khalil, Qinyi Liu, Jelena Jovanovic
    British Journal of Educational Technology (2025)
    DOI [IF=6.7] [SSCI]
  2. How to plan and manage a blended learning course module using generative artificial intelligence?
    Mohammad Khalil, Ronas Shakya, Qinyi Liu, Martin Ebner
    Case Studies on Blended Learning in Higher Education (pp. 53–72). Springer (2024)
    DOI

Teaching

Teaching

Mentoring

Funding & Awards

Fundings

Awards

Services

Guest Editor

Organization Committee Member

Conference Reviewers

Journal Reviewers


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