[HTML][HTML] ImageLM: Interpretable image-based learner modelling for classifying learners' computational thinking
D Hooshyar, Y Yang - Expert Systems with Applications, 2024 - Elsevier
Predictive learner modelling is crucial for personalized education. While convolutional
neural networks (CNNs) have shown great success in education, their potential in learner …
neural networks (CNNs) have shown great success in education, their potential in learner …
Multi-level cross-modal contrastive learning for review-aware recommendation
Y Wei, Y Xu, L Zhu, J Ma, C Peng - Expert Systems with Applications, 2024 - Elsevier
Recent studies tend to employ Contrastive Learning (CL) methods to facilitate model training
by extracting self-supervised signals to mitigate data sparsity. However, existing CL-based …
by extracting self-supervised signals to mitigate data sparsity. However, existing CL-based …