3 papers
cs.CE2026
Cross-Platform Domain Adaptation for Multi-Modal MOOC Learner Satisfaction Prediction
Jakub Kowalski, Magdalena Piotrowska
Learner satisfaction prediction from MOOC reviews and behavioral logs is valuable for course quality improvement and platform operations. In practice, models trained on one platfor…
cs.CE2026
Early-Warning Learner Satisfaction Forecasting in MOOCs via Temporal Event Transformers and LLM Text Embeddings
Anna Kowalczyk, Jakub Kowalski
Learner satisfaction is a critical quality signal in massive open online courses (MOOCs), directly influencing retention, engagement, and platform reputation. Most existing methods…
cs.LG2025
Inducing Causal World Models in LLMs for Zero-Shot Physical Reasoning
Aditya Sharma, Ananya Gupta, Chengyu Wang +2
Large Language Models (LLMs), despite their advanced linguistic capabilities, fundamentally lack an intuitive understanding of physical dynamics, which limits their effectiveness i…