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2020 – today
- 2024
[j3]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): 323-374 (2024)- [j2]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): 797-852 (2024) - [c19]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: 124-131 - 2023
- [c18]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: 3:1-3:7 - 2022
- [c17]Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea:
Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs. AIED (1) 2022: 717-723 - [c16]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: 227-237 - 2021
- [j1]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): 215-233 (2021) - [c15]Mohammed A. Alsheri, Laila M. Alrajhi, Ahmed Alamri, Alexandra I. Cristea:
MOOCSent: a Sentiment Predictor for Massive Open Online Courses. ISD 2021 - [c14]Mohammed A. Alsheri, Ahmed Alamri, Alexandra I. Cristea, Craig D. Stewart:
Forum-based Prediction of Certification in Massive Open Online Courses. ISD 2021 - [c13]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: 119-130 - [c12]Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea:
Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC. ITS 2021: 148-160 - [c11]Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea:
Predicting Certification in MOOCs Based on Students' Weekly Activities. ITS 2021: 173-185 - [c10]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: 466-480 - 2020
- [c9]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: 353-363 - [i2]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 abs/2008.05209 (2020) - [i1]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 abs/2008.05849 (2020)
2010 – 2019
- 2019
- [c8]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: 67-72 - [c7]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: 163-173 - 2018
- [c6]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: 119-128 - [c5]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: 57-61 - [c4]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: 73-77 - [c3]Javed I. Khan, Alexandra I. Cristea, Ahmed Alamri:
A Large-Scale Category-Based Evaluation of A Visual Language for Adaptive Hypermedia. ICIEI 2018: 94-98 - [c2]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 - [c1]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
Coauthor Index
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last updated on 2024-08-20 20:26 CEST by the dblp team
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