| 2024 | AIED | MOOCRev: A Large-Scale Data Repository for Course Reviews. | Mohammad Alshehri, Fahd Alfarsi, Ahmed Alamri, Laila Alrajhi, Saman Rizvi, Filipe Dwan Pereira, Seiji Isotani, Alexandra I. Cristea |
| 2023 | ITS | Plug & Play with Deep Neural Networks: Classifying Posts that Need Urgent Intervention in MOOCs. | Laila Alrajhi, Alexandra I. Cristea |
| 2022 | AIED | Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCs. | Tahani Aljohani, Alexandra I. Cristea, Laila Alrajhi |
| 2022 | AIED | A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs. | Laila Alrajhi, Filipe Dwan Pereira, Alexandra I. Cristea, Tahani Aljohani |
| 2022 | ITS | Intervention Prediction in MOOCs Based on Learners' Comments: A Temporal Multi-input Approach Using Deep Learning and Transformer Models. | Laila Alrajhi, Ahmed Alamri, Alexandra I. Cristea |
| 2021 | ITS | Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC. | Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea |
| 2021 | ITS | Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. | Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi |
| 2020 | ITS | Data-Driven Analysis of Engagement in Gamified Learning Environments: A Methodology for Real-Time Measurement of MOOCs. | Khulood Alharbi, Laila Alrajhi, Alexandra I. Cristea, Ig Ibert Bittencourt, Seiji Isotani, Annie James |
| 2020 | ITS | A Multidimensional Deep Learner Model of Urgent Instructor Intervention Need in MOOC Forum Posts. | Laila Alrajhi, Khulood Alharbi, Alexandra I. Cristea |