Staff profile
Overview
https://warwick.ac.uk/fac/sci/dcs/people/u1794527/ahmed_personal.png?maxWidth=200&maxHeight=283
Mr Ahmed Alamri
Postgraduate Student
| Affiliation | Room number | Telephone |
|---|---|---|
| Postgraduate Student in the Department of Computer Science | Mathematical Sciences and Computer Science Building |
Biography
I am a PhD student at Durham University under the supervision of
Professor Alexandra .I joined the Innovative Computing Group in October 2017. My background is in computer science whereas my current research lies at data mining and learner analytics. In 2015 I obtained my master’s degree from Nottingham Trent University. The main field of study: Software engineering, System science and IT.
Publications
Chapter in book
- Pereira, Filipe D., Oliveira, Elaine, Cristea, Alexandra, Fernandes, David, Silva, Luciano, Aguiar, Gene, Alamri, Ahmed & Alshehri, Mohammad (2019), Early Dropout Prediction for Programming Courses Supported by Online Judges, in Isotani, Seiji, Millán, Eva, Ogan, Amy, Hastings, Peter, McLaren, Bruce & Luckin, Rose eds, Lecture Notes in Computer Science 11626: AIED 2019. Chicago, IL, Springer.
- Alamri, Ahmed, Alshehri, Mohammad, Cristea, Alexandra I., Pereira, Filipe D., Oliveira, Elaine, Shi, Lei & Stewart, Craig (2019). Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week’s Activities. In Intelligent Tutoring Systems. ITS 2019. Coy, Andre, Hayashi, Yugo & Chang, Maiga Cham: Springer. 11528: 163-173.
Conference Paper
- Alshehri, Mohammad, Alamri, Ahmed & Cristea, Alexandra I. (2021), Predicting Certification in MOOCs based on Students’ Weekly Activities, ITS World Congress. Hamburg, Germany.
- Alsheri, Mohammed A., Almari, Ahmed, Cristea, Alexandra I. & Stewart, Craig D. (2021), Forum-based Prediction of Certification in Massive Open Online Courses, 29th International Conference on Information systems and Development (ISD2021). Valencia, Association for Information Systems, 9.
- Alrajhi, Laila, Alamri, Ahmed, Pereira, Filipe Dwan & Cristea, Alexandra I. (2021), Urgency Analysis of Learners’ Comments: an Automated Intervention Priority Model for MOOC, ITS World Congress. Hamburg, Germany.
- Alamri, Ahmed, Sun, Zhongtian, Cristea, Alexandra I., Steward, Craig & Pereira, Filipe Dawn (2021), MOOC next week dropout prediction: weekly assessing time and learning patterns, ITS World Congress. Hamburg, Germany.
- Alsheri, Mohammed A., Alrajhi, Laila M., Alamri, Ahmed & Cristea, Alexandra I. (2021), MOOCSent: a Sentiment Predictor for Massive Open Online Courses, 29th International Conference on Information systems and Development (ISD2021). Valencia, Association for Information Systems, 13.
- Cristea, A. I., Alshehri, M., Alamri, A., Kayama, M., Stewart, C. & Shi, L (2018), How is learning fluctuating? FutureLearn MOOCs fine-grained temporal Analysis and Feedback to Teachers, in Andersson, B., Johansson, B., Carlsson, S., Barry, C., Lang, M., Linger, H. & Schneider, C. eds, 27th International Conference on Information Systems Development (ISD2018). Lund, Association for Information Systems, 6.
- Cristea, Alexandra I., Alamri, Ahmed, Kayama, Mizue, Stewart, Craig, Alshehri, Mohammad & Shi, Lei (2018), Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses, in Andersson, B., Johansson, B., Carlsson, S., Barry, C., Lang, M., Linger, H. & Schneider, C. eds, 27th International Conference on Information Systems Development (ISD2018). Lund, Sweden, Association for Information Systems.
- Khan, J., Cristea, A. I. & Alamri, A. (2018), A large-scale category-based evaluation of a visual language for adaptive hypermedia, ACM International Conference Proceeding Series (ICPS) 3rd International Conference on Information and Education Innovations (ICIEI'18). London, Association for Computing Machinery, New York, NY, USA, 94-98.
- Alshehri,Mohammad, Foss,Jonathan, Cristea,Alexandra I., Kayama,Mizue, Shi,Lei, Alamri,Ahmed & Tsakalidis,Adam (2018), On the need for fine-grained analysis of Gender versus Commenting Behaviour in MOOCs, ACM International Conference Proceedings Series (ICPS) 3rd International Conference on Information and Education Innovations (ICIEI'18). London, Association for Computing Machinery, New York, NY, USA, 73-77.
- Cristea, Alexandra I., Alamri, Ahmed, Alshehri, Mohammad, Kayama, Mizue, Foss, Jonathan, Shi, Lei & Stewart, Craig D. (2018), Can Learner Characteristics Predict Their Behaviour on MOOCs?, 10th International Conference on Education Technology and Computers - ICETC '18. Tokyo, ACM, New York, 119-125.
- Cristea, Alexandra I., Alamri, Ahmed, Kayama, Mizue, Stewart, Craig, Alshehri, Mohammad & Shi, Lei (2018), How is Learning Fluctuating? FutureLearn MOOCs Fine-grained Temporal Analysis and Feedback to Teachers and Designers, in Andersson, B., Johansson, B., Carlsson, S., Barry, C., Lang, M., Linger, H. & Schneider, C. eds, 27th International Conference on Information Systems Development (ISD2018). Lund, Sweden, Association for Information Systems.
- Alamri, A., Rusby, H., Cristea, Alexandra I., Khan, J., Shi, Lei & Stewart, C. (2018), An intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System, ACM International Conference Proceeding Series (ICPS) 3rd International Conference on Information and Education Innovations (ICIEI'18). London, Association for Computing Machinery, New York, NY, USA, 57-61.
- Cristea, A., Alamri, Ahmed, Kayama, Mizue, Stewart, Craig, Alsheri, Mohammed & Shi, Lei (2018), Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses, in Andersson, B., Johansson, B., Carlsson, S., Barry, C., Lang, M., Linger, H. & Schneider, C. eds, 27th International Conference on Information Systems Development (ISD2018). Lund, Sweden, Association for Information Systems, 5.
Journal Article