Mohammad Alshehri

According to our database, Mohammad Alshehri authored at least 14 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., April, 2024

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

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

Context Unlocks Emotions: Text-based Emotion Classification Dataset Auditing with Large Language Models.

Daniel Yang, Aditya Kommineni, Mohammad Alshehri, Nilamadhab Mohanty, Vedant Modi, Jonathan Gratch, Shrikanth Narayanan

Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, 2023

2022

MOOCs Paid Certification Prediction Using Students Discussion Forums.

Mohammad Alshehri, Alexandra I. Cristea

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs.

Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

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

Predicting Certification in MOOCs Based on Students' Weekly Activities.

Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

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, Craig D. Stewart

Proceedings of the Intelligent Tutoring Systems - 15th International Conference, 2019

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

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

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

Proceedings of the Information Systems Development: Designing Digitalization, 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

Proceedings of the Information Systems Development: Designing Digitalization, 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, Ahmed Alamri, Adam Tsakalidis

Proceedings of the 2018 The 3rd International Conference on Information and Education Innovations, 2018

Can learner characteristics predict their behaviour on MOOCs?

Alexandra I. Cristea, Ahmed Alamri, Mohammad Alshehri, Mizue Kayama, Jonathan G. K. Foss, Lei Shi, Craig D. Stewart

Proceedings of the 10th International Conference on Education Technology and Computers, 2018

2012

Adopting E-commerce to User's Needs

Mohammad Alshehri, Hamza Aldabbas, James Sawle, Mai Abu Baqar

CoRR, 2012