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Ahmed Alamri
Ahmed Alamri
Computer Science, Durham university
E-mail confirmado em durham.ac.uk - Página inicial
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Ano
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
402019
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
322019
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
232018
SARS-CoV-2 infection and venous thromboembolism after surgery: an international prospective cohort study.
C COVIDSurg, C GlobalSurg
Anaesthesia 77 (1), 28-39, 2022
182022
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
142021
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
92020
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
92018
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
72018
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
72018
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
52021
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
52018
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
42021
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
32021
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
32018
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
12021
Social interactions clustering mooc students: An exploratory study
L Shi, A Cristea, A Alamri, AM Toda, W Oliveira
arXiv preprint arXiv:2008.03982, 2020
12020
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
12018
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
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