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Mohammad Alshehri
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2020 – today
- 2024
- [j2]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) - [c11]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
- [c10]Daniel Yang, Aditya Kommineni, Mohammad Alshehri, Nilamadhab Mohanty, Vedant Modi, Jonathan Gratch, Shrikanth Narayanan:
Context Unlocks Emotions: Text-based Emotion Classification Dataset Auditing with Large Language Models. ACII 2023: 1-8 - [i3]Daniel Yang, Aditya Kommineni, Mohammad Alshehri, Nilamadhab Mohanty, Vedant Modi, Jonathan Gratch, Shrikanth Narayanan:
Context Unlocks Emotions: Text-based Emotion Classification Dataset Auditing with Large Language Models. CoRR abs/2311.03551 (2023) - 2022
- [c9]Mohammad Alshehri, Alexandra I. Cristea
:
MOOCs Paid Certification Prediction Using Students Discussion Forums. AIED (2) 2022: 542-545 - [c8]Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea
Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs. AIED (1) 2022: 717-723 - 2021
- [j1]Mohammad Alshehri
Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs. Int. J. Artif. Intell. Educ. 31(2): 215-233 (2021) - [c7]Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea
Predicting Certification in MOOCs Based on Students' Weekly Activities. ITS 2021: 173-185 - 2020
- [i2]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
- [c6]Filipe D. Pereira
Early Dropout Prediction for Programming Courses Supported by Online Judges. AIED (2) 2019: 67-72 - [c5]Ahmed Alamri, Mohammad Alshehri, Alexandra I. Cristea
Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities. ITS 2019: 163-173 - 2018
- [c4]Alexandra I. Cristea
Can learner characteristics predict their behaviour on MOOCs? ICETC 2018: 119-128 - [c3]Mohammad Alshehri, Jonathan G. K. Foss, Alexandra I. Cristea
On the Need for Fine-Grained Analysis of Gender Versus Commenting Behaviour in MOOCs. ICIEI 2018: 73-77 - [c2]Alexandra I. Cristea
How is Learning Fluctuating? FutureLearn MOOCs Fine-Grained Temporal Analysis and Feedback to Teachers. ISD 2018 - [c1]Alexandra I. Cristea
Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn courses. ISD 2018 - 2012
- [i1]Mohammad Alshehri, Hamza Aldabbas, James Sawle, Mai Abu Baqar:
Adopting E-commerce to User's Needs. CoRR abs/1203.3688 (2012)
Coauthor Index
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