31 citations · 79 across the 20 of their papers we have counts for
6 papers · 1 filter
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection
Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy +2
Clustering in education, particularly in large-scale online environments like MOOCs, is essential for understanding and adapting to diverse student needs. However, the effectivenes…
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…
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs
Bahar Radmehr, Adish Singla, Tanja Käser
There has been a growing interest in developing learner models to enhance learning and teaching experiences in educational environments. However, existing works have primarily focu…
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges
Paul Denny, Sumit Gulwani, Neil T. Heffernan +4
This survey article has grown out of the GAIED (pronounced "guide") workshop organized by the authors at the NeurIPS 2023 conference. We organized the GAIED workshop as part of a c…
Intrinsic User-Centric Interpretability through Global Mixture of Experts
Vinitra Swamy, Syrielle Montariol, Julian Blackwell +3
In human-centric settings like education or healthcare, model accuracy and model explainability are key factors for user adoption. Towards these two goals, intrinsically interpreta…