61 citations · 153 across the 12 of their papers we have counts for
15 papers
Evaluating Inquiry Learning in LLM-Based Agents: Hypothesizing, Reasoning, and Exploration
Marta Knežević, Seyed Parsa Neshaei, Jibril Frej +2
Scientific inquiry involves iterative cycles of exploration, hypothesis generation, and reasoning over observations to uncover relationships in complex systems. Large language mode…
Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes
Paola Mejia-Domenzain, Jibril Frej, Seyed Parsa Neshaei +5
Writing high-quality procedural texts is a challenging task for many learners. While example-based learning has shown promise as a feedback approach, a limitation arises when all l…
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants
Beatriz Borges, Negar Foroutan, Deniz Bayazit +87
AI assistants are being increasingly used by students enrolled in higher education institutions. While these tools provide opportunities for improved teaching and education, they a…
Graph Reasoning for Explainable Cold Start Recommendation
Jibril Frej, Marta Knezevic, Tanja Kaser
The cold start problem, where new users or items have no interaction history, remains a critical challenge in recommender systems (RS). A common solution involves using Knowledge G…
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning
Elena Grazia Gado, Tommaso Martorella, Luca Zunino +4
Intelligent Tutoring Systems (ITS) enhance personalized learning by predicting student answers to provide immediate and customized instruction. However, recent research has primari…
Course Recommender Systems Need to Consider the Job Market
Jibril Frej, Anna Dai, Syrielle Montariol +2
Current course recommender systems primarily leverage learner-course interactions, course content, learner preferences, and supplementary course details like instructor, institutio…