6 citations · 7 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks
Vinitra Swamy, Malika Satayeva, Jibril Frej +5
Predicting multiple real-world tasks in a single model often requires a particularly diverse feature space. Multimodal (MM) models aim to extract the synergistic predictive potenti…
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs
Vinitra Swamy, Bahar Radmehr, Natasa Krco +2
Neural networks are ubiquitous in applied machine learning for education. Their pervasive success in predictive performance comes alongside a severe weakness, the lack of explainab…