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Direct linkR. K. Kapila Vani; P. Jayashree – Education and Information Technologies, 2025
Emotions of learners are fundamental and significant in e-learning as they encourage learning. Machine learning models are presented in the literature to look at how emotions may affect e-learning results that are improved and optimized. Nevertheless, the models that have been suggested so far are appropriate for offline mode, whereby data for…
Descriptors: Electronic Learning, Psychological Patterns, Artificial Intelligence, Models
Angélica Mateus-Moreno; Maria Fernanda Lara-Diaz; Daniel Adrover-Roig; Eva Aguilar-Mediavilla; Gracia Jiménez-Fernández – Annals of Dyslexia, 2025
Recent research suggests that performance on Statistical Learning (SL) tasks may be lower in children with dyslexia in deep orthographies such as English. However, it is debated whether the observed difficulties may vary depending on the modality and stimulus of the task, opening a broad discussion about whether SL is a domain-general or…
Descriptors: Statistics Education, Dyslexia, Students with Disabilities, Phoneme Grapheme Correspondence
