Timing of surgery following SARS‐CoV‐2 infection: an international prospective cohort study H Gacaferi, GS Collaborative, COVIDSurg Collaborative Anaesthesia 76 (6), 2021 | 226* | 2021 |
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 International Conference on Intelligent Tutoring Systems, 163-173, 2019 | 40 | 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, ... International conference on artificial intelligence in education, 67-72, 2019 | 32 | 2019 |
Earliest predictor of dropout in MOOCs: a longitudinal study of FutureLearn courses. AI Cristea, A Alamri, M Kayama, C Stewart, M Alsheri, L Shi Association for Information Systems, 2018 | 23 | 2018 |
SARS-CoV-2 infection and venous thromboembolism after surgery: an international prospective cohort study. C COVIDSurg, C GlobalSurg Anaesthesia 77 (1), 28-39, 2022 | 18 | 2022 |
Effects of pre‐operative isolation on postoperative pulmonary complications after elective surgery: an international prospective cohort study COVIDSurg Collaborative, GlobalSurg Collaborative, D Nepogodiev, ... Anaesthesia 76 (11), 1454-1464, 2021 | 14 | 2021 |
Is MOOC learning different for dropouts? A visually-driven, multi-granularity explanatory ML approach A Alamri, Z Sun, AI Cristea, G Senthilnathan, L Shi, C Stewart International Conference on Intelligent Tutoring Systems, 353-363, 2020 | 9 | 2020 |
How is learning fluctuating? FutureLearn MOOCs fine-grained temporal analysis and feedback to teachers and designers AI Cristea, M Alshehri, A Alamri, M Kayama, C Stewart, L Shi Proceedings of the 27th International Conference on Information Systems …, 2018 | 9 | 2018 |
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 2018 The 3rd International Conference on Information and …, 2018 | 7 | 2018 |
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 2018 The 3rd International Conference on Information and …, 2018 | 7 | 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 (2), 215-233, 2021 | 5 | 2021 |
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 | 5 | 2018 |
Urgency analysis of learners’ comments: An automated intervention priority model for mooc L Alrajhi, A Alamri, FD Pereira, AI Cristea International Conference on Intelligent Tutoring Systems, 148-160, 2021 | 4 | 2021 |
MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns A Alamri, Z Sun, AI Cristea, C Stewart, FD Pereira International Conference on Intelligent Tutoring Systems, 119-130, 2021 | 3 | 2021 |
An intuitive authoring system for a personalised, social, gamified, visualisation-supporting e-learning system A Alamri, H Rusby, AI Cristea, M Kayama, J Khan, L Shi, C Stewart Proceedings of the 2018 the 3rd International Conference on Information and …, 2018 | 3 | 2018 |
A recommender system based on effort: Towards minimising negative affects and maximising achievement in cs1 learning FD Pereira, HBF Junior, L Rodriguez, A Toda, EHT Oliveira, AI Cristea, ... International Conference on Intelligent Tutoring Systems, 466-480, 2021 | 1 | 2021 |
Social interactions clustering mooc students: An exploratory study L Shi, A Cristea, A Alamri, AM Toda, W Oliveira arXiv preprint arXiv:2008.03982, 2020 | 1 | 2020 |
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 | 1 | 2018 |
Intervention Prediction in MOOCs Based on Learners’ Comments: A Temporal Multi-input Approach Using Deep Learning and Transformer Models L Alrajhi, A Alamri, AI Cristea International Conference on Intelligent Tutoring Systems, 227-237, 2022 | | 2022 |
Predicting Certification in MOOCs Based on Students’ Weekly Activities M Alshehri, A Alamri, AI Cristea International Conference on Intelligent Tutoring Systems, 173-185, 2021 | | 2021 |