Can learner characteristics predict their behaviour on MOOCs? - Alexandra I. Cristea; Ahmed Alamri; Mohammad Alshehri; Mizue Kayama; Jonathan G. K. Foss; Lei Shi 003; Craig D. Stewart (ICETC, 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 003; Craig D. Stewart (ICIEI, 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 003; Ahmed Alamri; Adam Tsakalidis (ICIEI, 2018)

A Large-Scale Category-Based Evaluation of A Visual Language for Adaptive Hypermedia. - Javed I. Khan; Alexandra I. Cristea; Ahmed Alamri (ICIEI, 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 003 (ISD, 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 003 (ISD, 2018)

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 (AIED (2), 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 003; Craig D. Stewart (ITS, 2019)

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 003; Craig D. Stewart (ITS, 2020)

MOOCSent: a Sentiment Predictor for Massive Open Online Courses. - Mohammed A. Alsheri; Laila M. Alrajhi; Ahmed Alamri; Alexandra I. Cristea (ISD, 2021)

Forum-based Prediction of Certification in Massive Open Online Courses. - Mohammed A. Alsheri; Ahmed Alamri; Alexandra I. Cristea; Craig D. Stewart (ISD, 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 (ITS, 2021)

Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC. - Laila Alrajhi; Ahmed Alamri; Filipe Dwan Pereira; Alexandra I. Cristea (ITS, 2021)

Predicting Certification in MOOCs Based on Students' Weekly Activities. - Mohammad Alshehri; Ahmed Alamri; Alexandra I. Cristea (ITS, 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 (ITS, 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)

Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs. - Mohammad Alshehri; Ahmed Alamri; Alexandra I. Cristea (AIED (1), 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 (ITS, 2022)

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 (HUMAN@HT, 2023)

MOOCRev: A Large-Scale Data Repository for Course Reviews. - Mohammad Alshehri; Fahd Alfarsi; Ahmed Alamri; Laila Alrajhi; Saman Rizvi; Filipe Dwan Pereira; Seiji Isotani; Alexandra I. Cristea (AIED Companion (2), 2024)

The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation. - Alexandra I. Cristea; Ahmed Alamri; Mohammad Alshehri; Filipe Dwan Pereira; Armando M. Toda; Elaine Harada T. de Oliveira; Craig D. Stewart (User Model. User Adapt. Interact., 2024)

Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums. - Laila Alrajhi; Ahmed Alamri; Filipe Dwan Pereira; Alexandra I. Cristea; Elaine H. T. Oliveira (User Model. User Adapt. Interact., 2024)