Ahmed Alamri

According to our database, Ahmed Alamri authored at least 19 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Serendipitous Gains of Explaining a Classifier - Artificial versus Human Performance and Annotator Support in an Urgent Instructor-Intervention Model for MOOCs.

Laila Alrajhi, Filipe Dwan Pereira, Alexandra I. Cristea, Ahmed Alamri

Proceedings of the 6th Workshop on Human Factors in Hypertext, 2023

2022

Intervention Prediction in MOOCs Based on Learners' Comments: A Temporal Multi-input Approach Using Deep Learning and Transformer Models.

Laila Alrajhi, Ahmed Alamri, Alexandra I. Cristea

Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs.

Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs.

Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea, Craig D. Stewart

Int. J. Artif. Intell. Educ., 2021

A Recommender System Based on Effort: Towards Minimising Negative Affects and Maximising Achievement in CS1 Learning.

Filipe D. Pereira, Hermino B. F. Junior, Luiz Rodriguez, Armando M. Toda, Elaine H. T. Oliveira, Alexandra I. Cristea, David B. F. Oliveira, Leandro S. G. Carvalho, Samuel C. Fonseca, Ahmed Alamri, Seiji Isotani

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Predicting Certification in MOOCs Based on Students' Weekly Activities.

Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC.

Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns.

Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Craig D. Stewart, Filipe Dwan Pereira

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Forum-based Prediction of Certification in Massive Open Online Courses.

Mohammed A. Alsheri, Ahmed Alamri, Alexandra I. Cristea, Craig D. Stewart

Proceedings of the Information Systems Development: Crossing Boundaries between Development and Operations (DevOps) in Information Systems (ISD2021 Proceedings), 2021

MOOCSent: a Sentiment Predictor for Massive Open Online Courses.

Mohammed A. Alsheri, Laila M. Alrajhi, Ahmed Alamri, Alexandra I. Cristea

Proceedings of the Information Systems Development: Crossing Boundaries between Development and Operations (DevOps) in Information Systems (ISD2021 Proceedings), 2021

2020

Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach.

Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Gautham Senthilnathan, Lei Shi, Craig D. Stewart

Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

2019

Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities.

Ahmed Alamri, Mohammad Alshehri, Alexandra I. Cristea, Filipe D. Pereira, Elaine H. T. Oliveira, Lei Shi, Craig D. Stewart

Proceedings of the Intelligent Tutoring Systems - 15th International Conference, 2019

Early Dropout Prediction for Programming Courses Supported by Online Judges.

Filipe D. Pereira, Elaine H. T. Oliveira, Alexandra I. Cristea, David Fernandes, Luciano Silva, Gene Aguiar, Ahmed Alamri, Mohammad Alshehri

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018

Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn courses.

Alexandra I. Cristea, Ahmed Alamri, Mizue Kayama, Craig D. Stewart, Mohammad Alshehri, Lei Shi

Proceedings of the Information Systems Development: Designing Digitalization, 2018

How is Learning Fluctuating? FutureLearn MOOCs Fine-Grained Temporal Analysis and Feedback to Teachers.

Alexandra I. Cristea, Mohammad Alshehri, Ahmed Alamri, Mizue Kayama, Craig D. Stewart, Lei Shi

Proceedings of the Information Systems Development: Designing Digitalization, 2018

A Large-Scale Category-Based Evaluation of A Visual Language for Adaptive Hypermedia.

Javed I. Khan, Alexandra I. Cristea, Ahmed Alamri

Proceedings of the 2018 The 3rd International Conference on Information and Education Innovations, 2018

On the Need for Fine-Grained Analysis of Gender Versus Commenting Behaviour in MOOCs.

Mohammad Alshehri, Jonathan G. K. Foss, Alexandra I. Cristea, Mizue Kayama, Lei Shi, Ahmed Alamri, Adam Tsakalidis

Proceedings of the 2018 The 3rd International Conference on Information and Education Innovations, 2018

An Intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System.

Ahmed Alamri, Harry Rusby, Alexandra I. Cristea, Mizue Kayama, Javed I. Khan, Lei Shi, Craig D. Stewart

Proceedings of the 2018 The 3rd International Conference on Information and Education Innovations, 2018

Can learner characteristics predict their behaviour on MOOCs?

Alexandra I. Cristea, Ahmed Alamri, Mohammad Alshehri, Mizue Kayama, Jonathan G. K. Foss, Lei Shi, Craig D. Stewart

Proceedings of the 10th International Conference on Education Technology and Computers, 2018