most citedJustification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.CY2025

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…

cs.CY2025

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…

cs.AI2025

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…

cs.CY2025

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…

cs.IR20231 cited

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…