Ahmed Alamri
Ahmed Alamri
Computer Science, Durham university
Bestätigte E-Mail-Adresse bei durham.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
232019
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
222019
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
172018
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
82018
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
52018
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
52018
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
42020
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
42018
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
22018
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
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, 1-19, 2021
2021
MOOC next week dropout prediction: weekly assessing time and learning patterns
A Alamri, Z Sun, AI Cristea, C Steward, FD Pereira
DU, 2021
2021
A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning
FD Pereira, HBF Junior, L Rodriquez, A Toda, EHT Oliveira, AI Cristea, ...
DU, 2021
2021
Predicting Certification in MOOCs based on Students’ Weekly Activities
M Alshehri, A Alamri, AI Cristea
DU, 2021
2021
Urgency Analysis of Learners’ Comments: an Automated Intervention Priority Model for MOOC
L Alrajhi, A Alamri, FD Pereira, AI Cristea
DU, 2021
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
2020
A Large-Scale Category-Based Evaluation of A Visual Language for Adaptive Hypermedia
J Khan, AI Cristea, A Alamri
Proceedings of the 2018 The 3rd International Conference on Information and …, 2018
2018
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