2 citations · 4 across the 9 of their papers we have counts for
9 papers
Sequential Learner Modeling Using Multi-Relational Graph Convolutional Networks
Rawaa Alatrash, Mohamed Amine Chatti, Hong Yang +1
User modeling is a critical task in a variety of personalized systems. Recognizing their effectiveness in learning from graph-structured data, Graph Neural Networks (GNNs), particu…
Investigating the Effects of Different Levels of User Control in an Interactive Educational Recommender System
Qurat Ul Ain, Mohamed Amine Chatti, William Kana Tsoplefack +2
Educational recommender systems (ERSs) are becoming increasingly important in enhancing educational outcomes and personalizing learning experiences by providing recommendations of…
Inferring Prerequisite Knowledge Concepts in Educational Knowledge Graphs: A Multi-criteria Approach
Rawaa Alatrash, Mohamed Amine Chatti, Nasha Wibowo +1
Educational Knowledge Graphs (EduKGs) organize various learning entities and their relationships to support structured and adaptive learning. Prerequisite relationships (PRs) are c…
An Optimized Pipeline for Automatic Educational Knowledge Graph Construction
Qurat Ul Ain, Mohamed Amine Chatti, Jean Qussa +3
The automatic construction of Educational Knowledge Graphs (EduKGs) is essential for domain knowledge modeling by extracting meaningful representations from learning materials. Des…
Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs
Mohamed Abdelmagied, Mohamed Amine Chatti, Shoeb Joarder +2
Massive Open Online Courses (MOOCs) lack direct interaction between learners and instructors, making it challenging for learners to understand new knowledge concepts. Recently, lea…
Top-Down vs. Bottom-Up Approaches for Automatic Educational Knowledge Graph Construction in CourseMapper
Qurat Ul Ain, Mohamed Amine Chatti, Amr Shakhshir +3
The automatic construction of Educational Knowledge Graphs (EduKGs) is crucial for modeling domain knowledge in digital learning environments, particularly in Massive Open Online C…
Designing and Evaluating an Educational Recommender System with Different Levels of User Control
Qurat Ul Ain, Mohamed Amine Chatti, William Kana Tsoplefack +2
Educational recommender systems (ERSs) play a crucial role in personalizing learning experiences and enhancing educational outcomes by providing recommendations of personalized res…
Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System
Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Joarder +4
Explainable recommender systems (RS) have traditionally followed a one-size-fits-all approach, delivering the same explanation level of detail to each user, without considering the…
Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System
Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Joarder +4
Significant attention has been paid to enhancing recommender systems (RS) with explanation facilities to help users make informed decisions and increase trust in and satisfaction w…