Ahmed Alamri

Orcid: 0000-0001-9258-3503

According to our database1, Ahmed Alamri authored at least 22 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums.
User Model. User Adapt. Interact., July, 2024

The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation.
User Model. User Adapt. Interact., April, 2024

MOOCRev: A Large-Scale Data Repository for Course Reviews.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023
Serendipitous Gains of Explaining a Classifier - Artificial versus Human Performance and Annotator Support in an Urgent Instructor-Intervention Model for MOOCs.
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.
Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021
Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs.
Int. J. Artif. Intell. Educ., 2021

A Recommender System Based on Effort: Towards Minimising Negative Affects and Maximising Achievement in CS1 Learning.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Predicting Certification in MOOCs Based on Students' Weekly Activities.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Forum-based Prediction of Certification in Massive Open Online Courses.
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.
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.
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.
Proceedings of the Intelligent Tutoring Systems - 15th International Conference, 2019

Early Dropout Prediction for Programming Courses Supported by Online Judges.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn courses.
Proceedings of the Information Systems Development: Designing Digitalization, 2018

How is Learning Fluctuating? FutureLearn MOOCs Fine-Grained Temporal Analysis and Feedback to Teachers.
Proceedings of the Information Systems Development: Designing Digitalization, 2018

A Large-Scale Category-Based Evaluation of A Visual Language for Adaptive Hypermedia.
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.
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.
Proceedings of the 2018 The 3rd International Conference on Information and Education Innovations, 2018

Can learner characteristics predict their behaviour on MOOCs?
Proceedings of the 10th International Conference on Education Technology and Computers, 2018


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