Laila Alrajhi

According to our database, Laila Alrajhi authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

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., July, 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

Plug & Play with Deep Neural Networks: Classifying Posts that Need Urgent Intervention in MOOCs.

Laila Alrajhi, Alexandra I. Cristea

Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

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

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.

Laila Alrajhi, Ahmed Alamri, Alexandra I. Cristea

Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

Extracting the Language of the Need for Urgent Intervention in MOOCs by Analysing Text Posts.

Laila Alrajhi, Khulood Alharbi, Alexandra I. Cristea, Filipe Dwan Pereira

Proceedings of the Learning Technologies and Systems, 2022

A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs.

Laila Alrajhi, Filipe Dwan Pereira, Alexandra I. Cristea, Tahani Aljohani

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

Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCs.

Tahani Aljohani, Alexandra I. Cristea, Laila Alrajhi

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

2021

Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums.

Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi

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

Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC.

Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea

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

MOOCSent: a Sentiment Predictor for Massive Open Online Courses.

Mohammed A. Alsheri, Laila M. Alrajhi, Ahmed Alamri, Alexandra I. Cristea

Proceedings of the Information Systems Development: Crossing Boundaries between Development and Operations (DevOps) in Information Systems (ISD2021 Proceedings), 2021

2020

A Multidimensional Deep Learner Model of Urgent Instructor Intervention Need in MOOC Forum Posts.

Laila Alrajhi, Khulood Alharbi, Alexandra I. Cristea

Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

Data-Driven Analysis of Engagement in Gamified Learning Environments: A Methodology for Real-Time Measurement of MOOCs.

Khulood Alharbi, Laila Alrajhi, Alexandra I. Cristea, Ig Ibert Bittencourt, Seiji Isotani, Annie James

Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020