Eye Tracking and Affective Computing Reveal Learner Attention States
Every language learner knows the feeling: the eyes keep moving across the text, but the mind has quietly left the ...
Every language learner knows the feeling: the eyes keep moving across the text, but the mind has quietly left the ...
A new model called MAGCAF fuses four pretrained vision systems to recognise student emotions from video, outperforming single-model approaches on ...
A new affective-cognitive gated cross-modal transformer integrates learners' speech, gestures, and emotional signals to recognize learning states and deliver adaptive ...
A new graph neural network framework shows that continuous emotional embeddings from disaster images can predict how far and how ...
Researchers combined reconstructed phase space representations, a 3D convolutional neural network, and gray wolf optimizer tuning to achieve state-of-the-art cross-corpus ...
A new generative protocol called BridgeProt achieves top accuracy and perfect structural validity in emotion-cause pair extraction by verifying each ...
A new deep learning framework quantifies anxiety-related physiological arousal from wearable biosignals in continuous time and generates interpretable, constraint-based emotional ...
Researchers have developed a real-time computer vision system that reads students' facial expressions during online lessons and converts four learning-centered ...
A 2025 study in Frontiers of Digital Education details how data-driven student portraits, built from knowledge graphs, clustering, and natural ...
A large-scale computational study using four BERT-based emotion classifiers reveals that sarcasm carries a stable negative emotional signature while metaphors ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine