| Predicting MOOCs dropout using only two easily obtainable features from the first week’s activities A Alamri, M Alshehri, A Cristea, FD Pereira, E Oliveira, L Shi, C Stewart Intelligent Tutoring Systems: 15th International Conference, ITS 2019 …, 2019 | 68 | 2019 |
| Early dropout prediction for programming courses supported by online judges FD Pereira, E Oliveira, A Cristea, D Fernandes, L Silva, G Aguiar, A Alamri, ... Artificial Intelligence in Education: 20th International Conference, AIED …, 2019 | 60 | 2019 |
| Earliest predictor of dropout in MOOCs: a longitudinal study of FutureLearn courses A Cristea, A Alamri, M Kayama, C Stewart, M Alsheri, L Shi, B Andersson, ... Association for Information Systems, 2018 | 35 | 2018 |
| Towards designing profitable courses: predicting student purchasing behaviour in MOOCs M Alshehri, A Alamri, AI Cristea, CD Stewart International Journal of Artificial Intelligence in Education 31, 215-233, 2021 | 23 | 2021 |
| On the need for fine-grained analysis of Gender versus Commenting Behaviour in MOOCs M Alshehri, J Foss, AI Cristea, M Kayama, L Shi, A Alamri, A Tsakalidis Proceedings of the 3rd International Conference on Information and Education …, 2018 | 14 | 2018 |
| Adopting user-centred development for Arabic e-commerce websites A Alghamdi, H Aldabbas, M Alshehri, M Nusir International Journal of Web & Semantic Technology 3 (2), 1-17, 2012 | 12 | 2012 |
| How is learning fluctuating? FutureLearn MOOCs fine-grained temporal analysis and feedback to teachers AI Cristea, M Alshehri, A Alamri, M Kayama, C Stewart, L Shi | 11 | 2018 |
| Can learner characteristics predict their behaviour on MOOCs? AI Cristea, A Alamri, M Alshehri, M Kayama, J Foss, L Shi, CD Stewart Proceedings of the 10th International Conference on Education Technology and …, 2018 | 9 | 2018 |
| MOOCSent: a sentiment predictor for massive open online courses MA Alsheri, LM Alrajhi, A Alamri, AI Cristea | 6 | 2021 |
| Predicting certification in MOOCs based on students’ weekly activities M Alshehri, A Alamri, AI Cristea Intelligent Tutoring Systems: 17th International Conference, ITS 2021 …, 2021 | 5 | 2021 |
| Moocs paid certification prediction using students discussion forums M Alshehri, AI Cristea International Conference on Artificial Intelligence in Education, 542-545, 2022 | 2 | 2022 |
| The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation AI Cristea, A Alamri, M Alshehri, FD Pereira, AM Toda, EHT de Oliveira, ... User Modeling and User-Adapted Interaction 34 (2), 323-374, 2024 | 1 | 2024 |
| MOOCRev: A Large-Scale Data Repository for Course Reviews M Alshehri, F Alfarsi, A Alamri, L Alrajhi, S Rizvi, FD Pereira, S Isotani, ... International Conference on Artificial Intelligence in Education, 124-131, 2024 | | 2024 |
| Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs M Alshehri, A Alamri, AI Cristea International Conference on Artificial Intelligence in Education, 717-723, 2022 | | 2022 |
Alexandra I CristeaProfessor of Computer Science, University of Durham, UKEmail verificata su durham.ac.uk