36 citations · 55 across the 20 of their papers we have counts for
20 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…
Visual or Textual: Effects of Explanation Format and Personal Characteristics on the Perception of Explanations in an Educational Recommender System
Qurat Ul Ain, Mohamed Amine Chatti, Nasim Yazdian Varjani +2
Explanations are central to improving transparency, trust, and user satisfaction in recommender systems (RS), yet it remains unclear how different explanation formats (visual vs. t…
Usability Evaluation and Improvement of a Tool for Self-Service Learning Analytics
Shoeb Joarder, Mohamed Amine Chatti, Louis Born
Self-Service Learning Analytics (SSLA) tools aim to support educational stakeholders in creating learning analytics indicators without requiring technical expertise. While such too…
Human-Centered Development of Indicators for Self-Service Learning Analytics: A Transparency through Exploration Approach
Shoeb Joarder, Mohamed Amine Chatti
The aim of learning analytics is to turn educational data into insights, decisions, and actions to improve learning and teaching. The reasoning of the provided insights, decisions,…
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…
The ISC Creator: Human-Centered Design of Learning Analytics Interactive Indicator Specification Cards
Shoeb Joarder, Mohamed Amine Chatti
Emerging research on human-centered learning analytics (HCLA) has demonstrated the importance of involving diverse stakeholders in co-designing learning analytics (LA) systems. How…
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…
Visualization for Recommendation Explainability: A Survey and New Perspectives
Mohamed Amine Chatti, Mouadh Guesmi, Arham Muslim
Providing system-generated explanations for recommendations represents an important step towards transparent and trustworthy recommender systems. Explainable recommender systems pr…
Trust and Transparency in Recommender Systems
Clara Siepmann, Mohamed Amine Chatti
Trust is long recognized to be an important factor in Recommender Systems (RS). However, there are different perspectives on trust and different ways to evaluate it. Moreover, a li…
Towards a Flexible User Interface for 'Quick and Dirty' Learning Analytics Indicator Design
Shoeb Joarder, Mohamed Amine Chatti, Seyedemarzie Mirhashemi +1
Research on Human-Centered Learning Analytics (HCLA) has provided demonstrations of a successful co-design process for LA tools with different stakeholders. However, there is a nee…
Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System
Mohamed Amine Chatti, Mouadh Guesmi, Laura Vorgerd +4
Despite the acknowledgment that the perception of explanations may vary considerably between end-users, explainable recommender systems (RS) have traditionally followed a one-size-…
Open Learning Analytics: A Systematic Literature Review and Future Perspectives
Arham Muslim, Mohamed Amine Chatti, Mouadh Guesmi
Open Learning Analytics (OLA) is an emerging research area that aims at improving learning efficiency and effectiveness in lifelong learning environments. OLA employs multiple meth…
The LAVA Model: Learning Analytics Meets Visual Analytics
Mohamed Amine Chatti, Arham Muslim, Manpriya Guliani +1
Human-Centered learning analytics (HCLA) is an approach that emphasizes the human factors in learning analytics and truly meets user needs. User involvement in all stages of the de…
Designing Theory-Driven Analytics-Enhanced Self-Regulated Learning Applications
Mohamed Amine Chatti, Volkan Yücepur, Arham Muslim +2
There is an increased interest in the application of learning analytics (LA) to promote self-regulated learning (SRL). A variety of LA dashboards and indicators were proposed to su…