A STEM MOOC for school children - What does learning analytics tell us? - Mohammad Khalil; Martin Ebner (ICL, 2015)

Evaluation Grid for xMOOCs. - Mohammad Khalil; Hubert Brunner; Martin Ebner (Int. J. Emerg. Technol. Learn., 2015)

Maker-MOOC - How to Foster STEM Education with an Open Online Course on Creative Digital Development and Construction with Children. - Martin Ebner; Sandra Schön; Mohammad Khalil (ICL (2), 2016)

When Learning Analytics Meets MOOCs - a Review on iMooX Case Studies. - Mohammad Khalil; Martin Ebner (I4CS, 2016)

On Using Learning Analytics to Track the Activity of Interactive MOOC Videos. - Josef Wachtler; Mohammad Khalil; Behnam Taraghi; Martin Ebner (SE@VBL@LAK, 2016)

Potential of EPUB3 for Digital Textbooks in Higher Education. - Martin Ebner; Christian Gailer; Mohammad Khalil; Michael Kopp 002; Elke Lackner; Michael Raunig (CoRR, 2016)

What is Learning Analytics about? A Survey of Different Methods Used in 2013-2015. - Mohammad Khalil; Martin Ebner (CoRR, 2016)

What Massive Open Online Course (MOOC) Stakeholders Can Learn From Learning Analytics? - Mohammad Khalil; Martin Ebner (CoRR, 2016)

Engaging Learning Analytics in MOOCS: the good, the bad, and the ugly. - Mohammad Khalil; Behnam Taraghi; Martin Ebner (CoRR, 2016)

Bayesian inference of nonlinear unsteady aerodynamics from aeroelastic limit cycle oscillations. - Rimple Sandhu; Dominique Poirel; Chris L. Pettit; Mohammad Khalil; Abhijit Sarkar (J. Comput. Phys., 2016)

De-Identification in Learning Analytics. - Mohammad Khalil; Martin Ebner (J. Learn. Anal., 2016)

Does Gamification in MOOC Discussion Forums Work? - Matthias Reischer; Mohammad Khalil; Martin Ebner (EMOOCs, 2017)

Editorial for the special issue on advancing research on open education. - Marco Kalz; Mohammad Khalil; Martin Ebner (J. Comput. High. Educ., 2017)

Clustering patterns of engagement in Massive Open Online Courses (MOOCs): the use of learning analytics to reveal student categories. - Mohammad Khalil; Martin Ebner (J. Comput. High. Educ., 2017)

Gamification in MOOCs: A review of the state of the art. - Mohammad Khalil; Jacqueline Wong; Björn B. de Koning; Martin Ebner; Fred Paas (EDUCON, 2018)

Study Effort and Student Success: A MOOC Case Study. - Jeanette Samuelsen; Mohammad Khalil (ICL (1), 2018)

The unbearable lightness of consent: mapping MOOC providers' response to consent. - Mohammad Khalil; Paul Prinsloo; Sharon Slade (L@S, 2018)

Gamifying higher education: enhancing learning with mobile game app. - Farshida Zafar; Jacqueline Wong; Mohammad Khalil (L@S, 2018)

The Essence of Time: Taking a Look at Learning Sessions in MOOCs. - Mohammad Khalil; Jacqueline Wong (LWMOOCS, 2018)

Learning Analytics in Massive Open Online Courses. - Mohammad Khalil (CoRR, 2018)

TimeTracker App: Facilitating Migrants' Engagement in Their Second Language Learning. - Olga Viberg; Mohammad Khalil; Gustav Bergman (IMCL, 2019)

Learning analytics at the intersections of student trust, disclosure and benefit. - Sharon Slade; Paul Prinsloo; Mohammad Khalil (LAK, 2019)

Exploring sequences of learner activities in relation to self-regulated learning in a massive open online course. - Jacqueline Wong; Mohammad Khalil; Martine Baars; Björn B. de Koning; Fred Paas (Comput. Educ., 2019)

The network uncertainty quantification method for propagating uncertainties in component-based systems. - Kevin Carlberg; Sofia Guzzetti; Mohammad Khalil; Khachik Sargsyan (CoRR, 2019)

Efforts in Europe for Data-Driven Improvement of Education - A Review of Learning Analytics Research in Seven Countries. - Jalal Nouri; Martin Ebner; Dirk Ifenthaler; Mohammed Saqr; Jonna Malmberg; Mohammad Khalil; Jesper Bruun; Olga Viberg; Miguel Ángel Conde González; Zacharoula K. Papamitsiou; Ulf Dalvad Berthelsen (Int. J. Learn. Anal. Artif. Intell. Educ., 2019)

Student Awareness and Privacy Perception of Learning Analytics in Higher Education. - Stian Botnevik; Mohammad Khalil; Barbara Wasson (EC-TEL, 2020)

Facilitating Ideation and Knowledge Sharing in Workplaces: The Design and Use of Gamification in Virtual Platforms. - Olga Viberg; Mohammad Khalil; Alexandros Lioliopoulos (HCI (26), 2020)

Self-regulated learning and learning analytics in online learning environments: a review of empirical research. - Olga Viberg; Mohammad Khalil; Martine Baars (LAK, 2020)

OXALIC: an Open edX Advanced Learning Analytics Tool. - Mohammad Khalil; Gleb Belokrys (LWMOOCS, 2020)

MOLAM: A Mobile Multimodal Learning Analytics Conceptual Framework to Support Student Self-Regulated Learning. - Mohammad Khalil (CoRR, 2020)

Who Are the Students of MOOCs? Experience from Learning Analytics Clustering Techniques. - Mohammad Khalil (EMOOCs, 2021)

Nonlinear sparse Bayesian learning for physics-based models. - Rimple Sandhu; Mohammad Khalil; Chris L. Pettit; Dominique Poirel; Abhijit Sarkar (J. Comput. Phys., 2021)

Eduino: A Telegram Learning-Based Platform and Chatbot in Higher Education. - Mohammad Khalil; Magnus Rambech (HCI (28), 2022)

Understanding Collaboration in Virtual Labs: A Learning Analytics Framework Development. - Hanna Birkeland; Mohammad Khalil; Barbara Wasson (ICL (1), 2022)

Poster: EduGraph: Dashboard for Personalised Feedback in Massive Open Online Courses. - Fredrik Haarde; Mohammad Khalil (ICL (1), 2022)

A Comparison of Learning Analytics Frameworks: a Systematic Review. - Mohammad Khalil; Paul Prinsloo; Sharon Slade (LAK, 2022)

Tweetology of Learning Analytics: What does Twitter tell us about the trends and development of the field? - Mohammad Khalil; Jacqueline Wong; Erkan Er; Martin Heitmann; Gleb Belokrys (LAK, 2022)

The answer is (not only) technological: Considering student data privacy in learning analytics. - Paul Prinsloo; Sharon Slade; Mohammad Khalil (Br. J. Educ. Technol., 2022)

A heteroencoder architecture for prediction of failure locations in porous metals using variational inference. - Wyatt Bridgman; Xiaoxuan Zhang; Gregory H. Teichert; Mohammad Khalil; Krishna C. Garikipati; Reese E. Jones (CoRR, 2022)

Domain Decomposition of Stochastic PDEs: Development of Probabilistic Wirebasket-based Two-level Preconditioners. - Ajit Desai; Mohammad Khalil; Chris L. Pettit; Dominique Poirel; Abhijit Sarkar (CoRR, 2022)

Robust Bayesian state and parameter estimation framework for stochastic dynamical systems with combined time-varying and time-invariant parameters. - Philippe Bisaillon; Brandon Robinson; Mohammad Khalil; Chris L. Pettit; Dominique Poirel; Abhijit Sarkar (CoRR, 2022)

Encoding nonlinear and unsteady aerodynamics of limit cycle oscillations using nonlinear sparse Bayesian learning. - Rimple Sandhu; Brandon Robinson; Mohammad Khalil; Chris L. Pettit; Dominique Poirel; Abhijit Sarkar (CoRR, 2022)

Probabilistic Prediction of Coalescence Flutter Using Measurements: Application to the Flutter Margin Method. - Sandip Chajjed; Mohammad Khalil; Dominique Poirel; Chris L. Pettit; Abhijit Sarkar (CoRR, 2022)

In the nexus of integrity and surveillance: Proctoring (re)considered. - Mohammad Khalil; Paul Prinsloo; Sharon Slade (J. Comput. Assist. Learn., 2022)

A Critical Consideration of the Ethical Implications in Learning Analytics as Data Ecology. - Paul Prinsloo; Mohammad Khalil; Sharon Slade (EC-TEL, 2023)

Will ChatGPT Get You Caught? Rethinking of Plagiarism Detection. - Mohammad Khalil; Erkan Er (HCI (30), 2023)

Impact of window size on the generalizability of collaboration quality estimation models developed using Multimodal Learning Analytics. - Pankaj Chejara; Luis Pablo Prieto; María Jesús Rodríguez-Triana; Adolfo Ruiz-Calleja; Mohammad Khalil (LAK, 2023)

Tackling the Challenges with Data Access in Learning Analytics Research: A Case Study of Virtual Labs. - Kamila Misiejuk; Mohammad Khalil; Barbara Wasson (TELL, 2023)

Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations. - Wyatt Bridgman; Reese E. Jones; Mohammad Khalil (CoRR, 2023)

Exploring hierarchical framework of nonlinear sparse Bayesian learning algorithm through numerical investigations. - Nastaran Dabiran; Brandon Robinson; Rimple Sandhu; Mohammad Khalil; Chris L. Pettit; Dominique Poirel; Abhijit Sarkar (CoRR, 2023)

Sparse Bayesian neural networks for regression: Tackling overfitting and computational challenges in uncertainty quantification. - Nastaran Dabiran; Brandon Robinson; Rimple Sandhu; Mohammad Khalil; Dominique Poirel; Abhijit Sarkar (CoRR, 2023)

A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters. - Brandon Robinson; Philippe Bisaillon; Jodi D. Edwards; Tetyana Kendzerska; Mohammad Khalil; Dominique Poirel; Abhijit Sarkar (CoRR, 2023)

Transfer learning for predicting source terms of principal component transport in chemically reactive flow. - Ki Sung Jung; Tarek Echekki; Jacqueline H. Chen; Mohammad Khalil (CoRR, 2023)

Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy. - Wyatt Bridgman; Uma Balakrishnan; Reese E. Jones; Jiefu Chen; Xuqing Wu 001; Cosmin Safta; Yueqin Huang; Mohammad Khalil (CoRR, 2023)

Fairness, Trust, Transparency, Equity, and Responsibility in Learning Analytics. - Mohammad Khalil; Paul Prinsloo; Sharon Slade (J. Learn. Anal., 2023)

Towards a partnership of teachers and intelligent learning technology: A systematic literature review of model-based learning analytics. - Tobias Ley; Kairit Tammets; Gerti Pishtari; Pankaj Chejara; Reet Kasepalu; Mohammad Khalil; Merike Saar; Iiris Tuvi; Terje Väljataga; Barbara Wasson (J. Comput. Assist. Learn., 2023)

Understanding privacy and data protection issues in learning analytics using a systematic review. - Qinyi Liu; Mohammad Khalil (Br. J. Educ. Technol., 2023)

Multimodal learning analytics - In-between student privacy and encroachment: A systematic review. - Paul Prinsloo; Sharon Slade; Mohammad Khalil (Br. J. Educ. Technol., 2023)

The use and application of learning theory in learning analytics: a scoping review. - Mohammad Khalil; Paul Prinsloo; Sharon Slade (J. Comput. High. Educ., 2023)

Learning analytics in virtual laboratories: a systematic literature review of empirical research. - Ramy Elmoazen; Mohammed Saqr; Mohammad Khalil; Barbara Wasson (Smart Learn. Environ., 2023)

Survival Strategies for IT Companies During Crisis: A Case Study of Russia. - Mohammad Khalil; Manuel Mazzara (AINA (6), 2024)

Explainable AI in Learning Analytics: Improving Predictive Models and Advancing Transparency Trust. - Qinyi Liu; Mohammad Khalil (EDUCON, 2024)

The Co-design Process of an Instructor Dashboard for Remote Labs in Higher Education. - Kamila Misiejuk; Mohammad Khalil (HCI (39), 2024)

Have Learning Analytics Dashboards Lived Up to the Hype? A Systematic Review of Impact on Students' Achievement, Motivation, Participation and Attitude. - Rogers Kaliisa; Kamila Misiejuk; Sonsoles López-Pernas; Mohammad Khalil; Mohammed Saqr (LAK, 2024)

Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics. - Qinyi Liu; Mohammad Khalil; Jelena Jovanovic 001; Ronas Shakya (LAK, 2024)

Probabilistic transfer learning methodology to expedite high fidelity simulation of reactive flows. - Bruno S. Soriano; Ki Sung Jung; Tarek Echekki; Jacqueline H. Chen; Mohammad Khalil (CoRR, 2024)

Learning analytics in support of inclusiveness and disabled students: a systematic review. - Mohammad Khalil; Sharon Slade; Paul Prinsloo (J. Comput. High. Educ., 2024)

Learning analytics as data ecology: a tentative proposal. - Paul Prinsloo; Mohammad Khalil; Sharon Slade (J. Comput. High. Educ., 2024)

Adaptive support for self-regulated learning in digital learning environments. - Mohammad Khalil; Jacqueline Wong; Barbara Wasson; Fred Paas (Br. J. Educ. Technol., 2024)

Vulnerable student digital well-being in AI-powered educational decision support systems (AI-EDSS) in higher education. - Paul Prinsloo; Mohammad Khalil; Sharon Slade (Br. J. Educ. Technol., 2024)

Video Analytics in Digital Learning Environments: Exploring Student Behaviour Across Different Learning Contexts. - Mohammad Khalil; Paraskevi Topali; Alejandro Ortega-Arranz; Erkan Er; Gökhan Akçapinar; Gleb Belokrys (Technol. Knowl. Learn., 2024)

Correction: Video Analytics in Digital Learning Environments: Exploring Student Behaviour Across Different Learning Contexts. - Mohammad Khalil; Paraskevi Topali; Alejandro Ortega-Arranz; Erkan Er; Gökhan Akçapinar; Gleb Belokrys (Technol. Knowl. Learn., 2024)

Designing a Learning Analytics Dashboard for Individual and Collaborative Use in Remote Labs. - Ronas Shakya; Mohammad Khalil (CSCWD, 2025)

The lack of generalisability in learning analytics research: why, how does it matter, and where to? - Mohammad Khalil; Paul Prinsloo (LAK, 2025)

Creating Artificial Students that Never Existed: Leveraging Large Language Models and CTGANs for Synthetic Data Generation. - Mohammad Khalil; Farhad Vadiee; Ronas Shakya; Qinyi Liu (LAK, 2025)

Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms. - Qinyi Liu; Oscar Blessed Deho; Farhad Vadiee; Mohammad Khalil; Srecko Joksimovic; George Siemens (LAK, 2025)

Advancing privacy in learning analytics using differential privacy. - Qinyi Liu; Ronas Shakya; Mohammad Khalil; Jelena Jovanovic 001 (LAK, 2025)

Exploring the Link Between Motivational Regulation and Learning Design with Learning Analytics: A Systematic Literature Review. - Jelena N. Larsen; Kine M. D. Maxwell; Mohammad Khalil (J. Learn. Anal., 2025)

Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion of Electromagnetic Data. - Han Lu; Ziang Zhang; Xiaolong Wei; Mohammad Khalil; Tommie Catanach; Cosmin Safta; Jiajia Sun; Xuqing Wu 001; Xin Fu; Jiefu Chen; Yueqin Huang (IEEE Trans. Geosci. Remote. Sens., 2025)

Designing human-centered learning analytics and artificial intelligence in education solutions: a systematic literature review. - Paraskevi Topali; Alejandro Ortega-Arranz; María Jesús Rodríguez-Triana; Erkan Er; Mohammad Khalil; Gökhan Akçapinar (Behav. Inf. Technol., 2025)

A Showdown of ChatGPT vs DeepSeek in Solving Programming Tasks. - Ronas Shakya; Farhad Vadiee; Mohammad Khalil (CoRR, 2025)

Towards Privacy-Preserving Data-Driven Education: The Potential of Federated Learning. - Mohammad Khalil; Ronas Shakya; Qinyi Liu (CoRR, 2025)

AI for data generation in education: Towards learning and teaching support at scale. - Mohammad Khalil; Qinyi Liu; Jelena Jovanovic 001 (Br. J. Educ. Technol., 2025)

Ensuring privacy through synthetic data generation in education. - Qinyi Liu; Ronas Shakya; Jelena Jovanovic 001; Mohammad Khalil; Javier de la Hoz-Ruiz (Br. J. Educ. Technol., 2025)