All Stories

  1. Federated Learning for a Scalable, Quality, and Trust Enabling Technologies in Education without Data Sharing

    Article • June 2026, ACM (Association for Computing Machinery)

    Mohammad Khalil

  2. Causal Pre-training Under the Fairness Lens: An Empirical Study of TabPFN

    Article • April 2026, ACM (Association for Computing Machinery)

    Qinyi Liu, Mohammad Khalil

  3. Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics

    Article • March 2024, ACM (Association for Computing Machinery)

    Qinyi Liu, Mohammad Khalil

  4. Have Learning Analytics Dashboards Lived Up to the Hype? A Systematic Review of Impact on Students' Achievement, Motivation, Participation and Attitude

    Article • March 2024, ACM (Association for Computing Machinery)

    Mohammad Khalil, Mohammed Saqr

  5. Impact of window size on the generalizability of collaboration quality estimation models developed using Multimodal Learning Analytics

    Article • March 2023, ACM (Association for Computing Machinery)

    Mohammad Khalil

  6. A Comparison of Learning Analytics Frameworks: a Systematic Review

    Article • March 2022, ACM (Association for Computing Machinery)

    Mohammad Khalil

  7. Tweetology of Learning Analytics: What does Twitter tell us about the trends and development of the field?

    Article • March 2022, ACM (Association for Computing Machinery)

    Mohammad Khalil

  8. Self-regulated learning and learning analytics in online learning environments

    Article • March 2020, ACM (Association for Computing Machinery)

    Mohammad Khalil

  9. Student data privacy in MOOCs: a sentiment analysis

    Article • Distance Education, July 2019, Taylor & Francis

    Mohammad Khalil

  10. Learning analytics at the intersections of student trust, disclosure and benefit

    Article • March 2019, ACM (Association for Computing Machinery)

    Mohammad Khalil