Ahmed Alamri

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Massive Open Online Courses

Adaptive Hypermedia

Longitudinal Study

Student Engagement

Top Venues

Publications

Mohammad Alshehri, Fahd Alfarsi, Ahmed Alamri, Laila Alrajhi, Saman Rizvi, Filipe Dwan Pereira, Seiji Isotani, Alexandra I. Cristea
MOOCRev: A Large-Scale Data Repository for Course Reviews. AIED Companion (2) (2024)
Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea, Elaine H. T. Oliveira
Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums. User Model. User Adapt. Interact. 34 (3) (2024)
Alexandra I. Cristea, Ahmed Alamri, Mohammad Alshehri, Filipe Dwan Pereira, Armando M. Toda, Elaine Harada T. de Oliveira, Craig D. Stewart
The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation. User Model. User Adapt. Interact. 34 (2) (2024)
Laila Alrajhi, Filipe Dwan Pereira, Alexandra I. Cristea, Ahmed Alamri
Serendipitous Gains of Explaining a Classifier - Artificial versus Human Performance and Annotator Support in an Urgent Instructor-Intervention Model for MOOCs. HUMAN@HT (2023)
Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea
Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs. AIED (1) (2022)
Laila Alrajhi, Ahmed Alamri, Alexandra I. Cristea
Intervention Prediction in MOOCs Based on Learners' Comments: A Temporal Multi-input Approach Using Deep Learning and Transformer Models. ITS (2022)
Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea
Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC. ITS (2021)
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
A Recommender System Based on Effort: Towards Minimising Negative Affects and Maximising Achievement in CS1 Learning. ITS (2021)
Mohammed A. Alsheri, Ahmed Alamri, Alexandra I. Cristea, Craig D. Stewart
Forum-based Prediction of Certification in Massive Open Online Courses. ISD (2021)
Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Craig D. Stewart, Filipe Dwan Pereira
MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns. ITS (2021)
Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea
Predicting Certification in MOOCs Based on Students' Weekly Activities. ITS (2021)
Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea, Craig D. Stewart
Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs. Int. J. Artif. Intell. Educ. 31 (2) (2021)
Mohammed A. Alsheri, Laila M. Alrajhi, Ahmed Alamri, Alexandra I. Cristea
MOOCSent: a Sentiment Predictor for Massive Open Online Courses. ISD (2021)
Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Gautham Senthilnathan, Lei Shi, Craig D. Stewart
Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach. CoRR (2020)
Ahmed Alamri, Mohammad Alshehri, Alexandra I. Cristea, Filipe D. Pereira, Elaine H. T. Oliveira, Lei Shi, Craig D. Stewart
Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities. CoRR (2020)
Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Gautham Senthilnathan, Lei Shi, Craig D. Stewart
Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach. ITS (2020)
Filipe D. Pereira, Elaine H. T. Oliveira, Alexandra I. Cristea, David Fernandes, Luciano Silva, Gene Aguiar, Ahmed Alamri, Mohammad Alshehri
Early Dropout Prediction for Programming Courses Supported by Online Judges. AIED (2) (2019)
Ahmed Alamri, Mohammad Alshehri, Alexandra I. Cristea, Filipe D. Pereira, Elaine H. T. Oliveira, Lei Shi, Craig D. Stewart
Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities. ITS (2019)
Alexandra I. Cristea, Mohammad Alshehri, Ahmed Alamri, Mizue Kayama, Craig D. Stewart, Lei Shi
How is Learning Fluctuating? FutureLearn MOOCs Fine-Grained Temporal Analysis and Feedback to Teachers. ISD (2018)
Alexandra I. Cristea, Ahmed Alamri, Mizue Kayama, Craig D. Stewart, Mohammad Alshehri, Lei Shi
Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn courses. ISD (2018)
Ahmed Alamri, Harry Rusby, Alexandra I. Cristea, Mizue Kayama, Javed I. Khan, Lei Shi, Craig D. Stewart
An Intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System. ICIEI (2018)
Mohammad Alshehri, Jonathan G. K. Foss, Alexandra I. Cristea, Mizue Kayama, Lei Shi, Ahmed Alamri, Adam Tsakalidis
On the Need for Fine-Grained Analysis of Gender Versus Commenting Behaviour in MOOCs. ICIEI (2018)
Javed I. Khan, Alexandra I. Cristea, Ahmed Alamri
A Large-Scale Category-Based Evaluation of A Visual Language for Adaptive Hypermedia. ICIEI (2018)
Alexandra I. Cristea, Ahmed Alamri, Mohammad Alshehri, Mizue Kayama, Jonathan G. K. Foss, Lei Shi, Craig D. Stewart
Can learner characteristics predict their behaviour on MOOCs? ICETC (2018)