11 papers
From Student Risk Prediction to SC2R: Semantics-Constrained Counterfactual Recourse for Educational Decision Support
Ngoc Luyen Le, Marie-Hélène Abel, Bertrand Laforge
Learning analytics models can identify students at risk of poor performance, but they do not directly indicate which interventions are feasible, actionable, and compatible with edu…
From Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration
Ngoc Luyen Le, Marie-Hélène Abel, Bertrand Laforge
Collaborations with Generative AI often begin with a short prompt and end with an opaque output, leaving implicit who was involved, what task was being pursued, which resources wer…
When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs
Ngoc Luyen Le, Marie-Hélène Abel, Bertrand Laforge
Early-warning models built from Learning Management System (LMS) logs aim to predict end-of-course outcomes early enough to enable timely learner support. However, reported "early"…
KG-First, LLM-Fallback: A Hybrid Microservice for Grounded Skill Search and Explanation
Ngoc Luyen Le, Marie-Hélène Abel, Bertrand Laforge
Authoritative competency frameworks such as ESCO, ROME, and O*NET are essential for aligning education with labor market needs, yet their technical complexity and structural hetero…
Development of Ontological Knowledge Bases by Leveraging Large Language Models
Le Ngoc Luyen, Marie-Hélène Abel, Philippe Gouspillou
Ontological Knowledge Bases (OKBs) play a vital role in structuring domain-specific knowledge and serve as a foundation for effective knowledge management systems. However, their t…
Automated Skill Decomposition Meets Expert Ontologies: Bridging the Granularity Gap with LLMs
Le Ngoc Luyen, Marie-Hélène Abel
This paper investigates automated skill decomposition using Large Language Models (LLMs) and proposes a rigorous, ontology-grounded evaluation framework. Our framework standardizes…
How Well Do LLMs Predict Prerequisite Skills? Zero-Shot Comparison to Expert-Defined Concepts
Ngoc Luyen Le, Marie-Hélène Abel
Prerequisite skills - foundational competencies required before mastering more advanced concepts - are important for supporting effective learning, assessment, and skill-gap analys…
From Individual to Group: Developing a Context-Aware Multi-Criteria Group Recommender System
Ngoc Luyen Le, Marie-Hélène Abel
Group decision-making is becoming increasingly common in areas such as education, dining, travel, and finance, where collaborative choices must balance diverse individual preferenc…
Enhancing Recommender Systems Using Textual Embeddings from Pre-trained Language Models
Ngoc Luyen Le, Marie-Hélène Abel
Recent advancements in language models and pre-trained language models like BERT and RoBERTa have revolutionized natural language processing, enabling a deeper understanding of hum…
Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning
Ngoc Luyen Le, Marie-Hélène Abel
Group recommender systems aim to generate recommendations that align with the collective preferences of a group, introducing challenges that differ significantly from those in indi…
Exploring Weighted Property Approaches for RDF Graph Similarity Measure
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
Measuring similarity between RDF graphs is essential for various applications, including knowledge discovery, semantic web analysis, and recommender systems. However, traditional s…