Laila Alrajhi

14 papers B 6Journal 3Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Prediction of Certification in MOOCs: A Systematic Literature Review.
ACM Comput. Surv.
Ahmed Alamri, Mohammad Alshehri, Laila Alrajhi, Alexandra I. Cristea
2024 — conf
MOOCRev: A Large-Scale Data Repository for Course Reviews.
AIED Companion (2)
Mohammad Alshehri, Fahd Alfarsi, Ahmed Alamri, Laila Alrajhi, Saman Rizvi, Filipe Dwan Pereira, Seiji Isotani, Alexandra I. Cristea
2024 J jnl
Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums.
User Model. User Adapt. Interact.
Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea, Elaine H. T. Oliveira
2023 B conf
Plug & Play with Deep Neural Networks: Classifying Posts that Need Urgent Intervention in MOOCs.
ITS
Laila Alrajhi, Alexandra I. Cristea
2023 — conf
Serendipitous Gains of Explaining a Classifier - Artificial versus Human Performance and Annotator Support in an Urgent Instructor-Intervention Model for MOOCs.
HUMAN@HT
Laila Alrajhi, Filipe Dwan Pereira, Alexandra I. Cristea, Ahmed Alamri
2022 — conf
A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs.
AIED (2)
Laila Alrajhi, Filipe Dwan Pereira, Alexandra I. Cristea, Tahani Aljohani
2022 — conf
Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCs.
AIED (2)
Tahani Aljohani, Alexandra I. Cristea, Laila Alrajhi
2022 — conf
Extracting the Language of the Need for Urgent Intervention in MOOCs by Analysing Text Posts.
ICWL
Laila Alrajhi, Khulood Alharbi, Alexandra I. Cristea, Filipe Dwan Pereira
2022 B conf
Intervention Prediction in MOOCs Based on Learners' Comments: A Temporal Multi-input Approach Using Deep Learning and Transformer Models.
ITS
Laila Alrajhi, Ahmed Alamri, Alexandra I. Cristea
2021 B conf
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums.
ITS
Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi
2021 J jnl
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums.
CoRR
Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi
2021 B conf
Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC.
ITS
Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea
2020 B conf
A Multidimensional Deep Learner Model of Urgent Instructor Intervention Need in MOOC Forum Posts.
ITS
Laila Alrajhi, Khulood Alharbi, Alexandra I. Cristea
2020 B conf
Data-Driven Analysis of Engagement in Gamified Learning Environments: A Methodology for Real-Time Measurement of MOOCs.
ITS
Khulood Alharbi, Laila Alrajhi, Alexandra I. Cristea, Ig Ibert Bittencourt, Seiji Isotani, Annie James