Ahmed Alamri

26 papers B 7Journal 6Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Prediction of Certification in MOOCs: A Systematic Literature Review.
ACM Comput. Surv.
Ahmed Alamri, Mohammad Alshehri, Laila Alrajhi, Alexandra I. Cristea
2025 — conf
SPAR-GNN: Knowledge Tracing with Behavioural Patterns and Selective LLM Feedback.
AIED Companion (2)
Zhongtian Sun, Jingyun Wang, Ahmed Alamri, Alexandra I. Cristea
2024 — conf
MOOCRev: A Large-Scale Data Repository for Course Reviews.
AIED Companion (2)
Mohammad Alshehri, Fahd Alfarsi, Ahmed Alamri, Laila Alrajhi, Saman Rizvi, Filipe Dwan Pereira, Seiji Isotani, Alexandra I. Cristea
2024 J jnl
Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums.
User Model. User Adapt. Interact.
Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea, Elaine H. T. Oliveira
2024 J jnl
The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation.
User Model. User Adapt. Interact.
Alexandra I. Cristea, Ahmed Alamri, Mohammad Alshehri, Filipe Dwan Pereira, Armando M. Toda, Elaine Harada T. de Oliveira, Craig D. Stewart
2023 — conf
Serendipitous Gains of Explaining a Classifier - Artificial versus Human Performance and Annotator Support in an Urgent Instructor-Intervention Model for MOOCs.
HUMAN@HT
Laila Alrajhi, Filipe Dwan Pereira, Alexandra I. Cristea, Ahmed Alamri
2022 — conf
Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs.
AIED (1)
Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea
2022 B conf
Intervention Prediction in MOOCs Based on Learners' Comments: A Temporal Multi-input Approach Using Deep Learning and Transformer Models.
ITS
Laila Alrajhi, Ahmed Alamri, Alexandra I. Cristea
2021 B conf
A Recommender System Based on Effort: Towards Minimising Negative Affects and Maximising Achievement in CS1 Learning.
ITS
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
2021 — conf
Forum-based Prediction of Certification in Massive Open Online Courses.
ISD
Mohammed A. Alsheri, Ahmed Alamri, Alexandra I. Cristea, Craig D. Stewart
2021 B conf
MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns.
ITS
Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Craig D. Stewart, Filipe Dwan Pereira
2021 — conf
MOOCSent: a Sentiment Predictor for Massive Open Online Courses.
ISD
Mohammed A. Alsheri, Laila M. Alrajhi, Ahmed Alamri, Alexandra I. Cristea
2021 B conf
Predicting Certification in MOOCs Based on Students' Weekly Activities.
ITS
Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea
2021 J jnl
Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs.
Int. J. Artif. Intell. Educ.
Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea, Craig D. Stewart
2021 B conf
Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC.
ITS
Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea
2020 B conf
Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach.
ITS
Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Gautham Senthilnathan, Lei Shi, Craig D. Stewart
2020 J jnl
Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach.
CoRR
Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Gautham Senthilnathan, Lei Shi, Craig D. Stewart
2020 J jnl
Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities.
CoRR
Ahmed Alamri, Mohammad Alshehri, Alexandra I. Cristea, Filipe D. Pereira, Elaine H. T. Oliveira, Lei Shi, Craig D. Stewart
2019 — conf
Early Dropout Prediction for Programming Courses Supported by Online Judges.
AIED (2)
Filipe D. Pereira, Elaine H. T. Oliveira, Alexandra I. Cristea, David Fernandes, Luciano Silva, Gene Aguiar, Ahmed Alamri, Mohammad Alshehri
2019 B conf
Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities.
ITS
Ahmed Alamri, Mohammad Alshehri, Alexandra I. Cristea, Filipe D. Pereira, Elaine H. T. Oliveira, Lei Shi, Craig D. Stewart
2018 — conf
A Large-Scale Category-Based Evaluation of A Visual Language for Adaptive Hypermedia.
ICIEI
Javed I. Khan, Alexandra I. Cristea, Ahmed Alamri
2018 — conf
An Intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System.
ICIEI
Ahmed Alamri, Harry Rusby, Alexandra I. Cristea, Mizue Kayama, Javed I. Khan, Lei Shi, Craig D. Stewart
2018 — conf
Can learner characteristics predict their behaviour on MOOCs?
ICETC
Alexandra I. Cristea, Ahmed Alamri, Mohammad Alshehri, Mizue Kayama, Jonathan G. K. Foss, Lei Shi, Craig D. Stewart
2018 — conf
Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn courses.
ISD
Alexandra I. Cristea, Ahmed Alamri, Mizue Kayama, Craig D. Stewart, Mohammad Alshehri, Lei Shi
2018 — conf
How is Learning Fluctuating? FutureLearn MOOCs Fine-Grained Temporal Analysis and Feedback to Teachers.
ISD
Alexandra I. Cristea, Mohammad Alshehri, Ahmed Alamri, Mizue Kayama, Craig D. Stewart, Lei Shi
2018 — conf
On the Need for Fine-Grained Analysis of Gender Versus Commenting Behaviour in MOOCs.
ICIEI
Mohammad Alshehri, Jonathan G. K. Foss, Alexandra I. Cristea, Mizue Kayama, Lei Shi, Ahmed Alamri, Adam Tsakalidis