activity
20232026
most citedIs More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System

36 citations · 52 across the 13 of their papers we have counts for

collaborators

13 papers

cs.HC2026

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…

cs.CY2026

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…

cs.CY2025

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,…

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.CY2025

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…

cs.IR2025★ 1 cited

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…

cs.IR2023★ 2 cited

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…

cs.IR2023★ 1 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…

cs.CY2023★ 1 cited

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…

cs.AI2023★ 36 cited

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-…

cs.CY2023★ 11 cited

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…