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Durham University

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Staff Profile

Mr Ahmed Alamri

Postgraduate Student in the Department of Computer Science

(email at ahmed.s.alamri@durham.ac.uk)

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.

Selected 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 Artificial Intelligence in Education. 11626: 67.
  • 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

  • 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.
  • 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, 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, 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.
  • 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.
  • 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.

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