Mohammad Khalil
Orcid: 0000-0002-6860-4404
According to our database1,
Mohammad Khalil
authored at least 65 papers
between 2015 and 2024.
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Bibliography
2024
J. Comput. High. Educ., April, 2024
Learning analytics in support of inclusiveness and disabled students: a systematic review.
J. Comput. High. Educ., April, 2024
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
Have Learning Analytics Dashboards Lived Up to the Hype? A Systematic Review of Impact on Students' Achievement, Motivation, Participation and Attitude.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
Proceedings of the Advanced Information Networking and Applications, 2024
2023
Learning analytics in virtual laboratories: a systematic literature review of empirical research.
Smart Learn. Environ., December, 2023
J. Comput. High. Educ., December, 2023
Multimodal learning analytics - In-between student privacy and encroachment: A systematic review.
Br. J. Educ. Technol., November, 2023
Understanding privacy and data protection issues in learning analytics using a systematic review.
Br. J. Educ. Technol., November, 2023
Towards a partnership of teachers and intelligent learning technology: A systematic literature review of model-based learning analytics.
J. Comput. Assist. Learn., October, 2023
J. Learn. Anal., 2023
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy.
CoRR, 2023
Transfer learning for predicting source terms of principal component transport in chemically reactive flow.
CoRR, 2023
A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters.
CoRR, 2023
Sparse Bayesian neural networks for regression: Tackling overfitting and computational challenges in uncertainty quantification.
CoRR, 2023
Exploring hierarchical framework of nonlinear sparse Bayesian learning algorithm through numerical investigations.
CoRR, 2023
Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations.
CoRR, 2023
Tackling the Challenges with Data Access in Learning Analytics Research: A Case Study of Virtual Labs.
Proceedings of the Technology-Enhanced Learning in Laboratories Workshop (TELL 2023), 2023
Impact of window size on the generalizability of collaboration quality estimation models developed using Multimodal Learning Analytics.
Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023
Proceedings of the Learning and Collaboration Technologies, 2023
A Critical Consideration of the Ethical Implications in Learning Analytics as Data Ecology.
Proceedings of the Responsive and Sustainable Educational Futures, 2023
2022
J. Comput. Assist. Learn., 2022
Probabilistic Prediction of Coalescence Flutter Using Measurements: Application to the Flutter Margin Method.
CoRR, 2022
Encoding nonlinear and unsteady aerodynamics of limit cycle oscillations using nonlinear sparse Bayesian learning.
CoRR, 2022
Robust Bayesian state and parameter estimation framework for stochastic dynamical systems with combined time-varying and time-invariant parameters.
CoRR, 2022
Domain Decomposition of Stochastic PDEs: Development of Probabilistic Wirebasket-based Two-level Preconditioners.
CoRR, 2022
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference.
CoRR, 2022
The answer is (not only) technological: Considering student data privacy in learning analytics.
Br. J. Educ. Technol., 2022
Tweetology of Learning Analytics: What does Twitter tell us about the trends and development of the field?
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022
Poster: EduGraph: Dashboard for Personalised Feedback in Massive Open Online Courses.
Proceedings of the Learning in the Age of Digital and Green Transition, 2022
Understanding Collaboration in Virtual Labs: A Learning Analytics Framework Development.
Proceedings of the Learning in the Age of Digital and Green Transition, 2022
Proceedings of the Learning and Collaboration Technologies. Novel Technological Environments, 2022
2021
Who Are the Students of MOOCs? Experience from Learning Analytics Clustering Techniques.
Proceedings of the 7th European MOOCs Stakeholders Summit, 2021
2020
MOLAM: A Mobile Multimodal Learning Analytics Conceptual Framework to Support Student Self-Regulated Learning.
CoRR, 2020
Proceedings of the IEEE Learning With MOOCS, 2020
Self-regulated learning and learning analytics in online learning environments: a review of empirical research.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020
Facilitating Ideation and Knowledge Sharing in Workplaces: The Design and Use of Gamification in Virtual Platforms.
Proceedings of the Learning and Collaboration Technologies. Human and Technology Ecosystems, 2020
Proceedings of the Addressing Global Challenges and Quality Education, 2020
2019
Efforts in Europe for Data-Driven Improvement of Education - A Review of Learning Analytics Research in Seven Countries.
Int. J. Learn. Anal. Artif. Intell. Educ., 2019
The network uncertainty quantification method for propagating uncertainties in component-based systems.
CoRR, 2019
Exploring sequences of learner activities in relation to self-regulated learning in a massive open online course.
Comput. Educ., 2019
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019
TimeTracker App: Facilitating Migrants' Engagement in Their Second Language Learning.
Proceedings of the Internet of Things, Infrastructures and Mobile Applications - Proceedings of the 13th IMCL Conference, Thessaloniki, Greece, 31 October, 2019
2018
Proceedings of the Learning With MOOCS, 2018
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018
Proceedings of the Challenges of the Digital Transformation in Education - Proceedings of the 21st International Conference on Interactive Collaborative Learning (ICL 2018), 2018
Proceedings of the 2018 IEEE Global Engineering Education Conference, 2018
2017
Clustering patterns of engagement in Massive Open Online Courses (MOOCs): the use of learning analytics to reveal student categories.
J. Comput. High. Educ., 2017
J. Comput. High. Educ., 2017
Proceedings of the Digital Education: Out to the World and Back to the Campus, 2017
2016
Bayesian inference of nonlinear unsteady aerodynamics from aeroelastic limit cycle oscillations.
J. Comput. Phys., 2016
What Massive Open Online Course (MOOC) Stakeholders Can Learn From Learning Analytics?
CoRR, 2016
CoRR, 2016
Proceedings of the LAK 2016 Workshop on Smart Environments and Analytics in Video-Based Learning, 2016
Proceedings of the Innovations for Community Services - 16th International Conference, 2016
Maker-MOOC - How to Foster STEM Education with an Open Online Course on Creative Digital Development and Construction with Children.
Proceedings of the Interactive Collaborative Learning - Proceedings of the 19th ICL Conference, 2016
2015
Proceedings of the International Conference on Interactive Collaborative Learning, 2015