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Yuang Wei; Bo Jiang – IEEE Transactions on Learning Technologies, 2024
Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…
Descriptors: Cognitive Mapping, Models, Prediction, Short Term Memory
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Jason R. Parkin; Daniel B. Hajovsky; Vincent C. Alfonso – Journal of Psychoeducational Assessment, 2025
Practitioners are encouraged to apply theories of reading development to psychoeducational test interpretation. Orthographic mapping provides an explanation of the acquisition of sight words. Although many test batteries provide tasks for practitioners to assess reading components associated with orthographic mapping, the relationship among…
Descriptors: Correlation, Phonemic Awareness, Cognitive Mapping, Psychoeducational Methods
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Jianhui Yu – International Review of Research in Open and Distributed Learning, 2025
Sentiments expressed on massive open online course (MOOC) discussion forums significantly influence learning effectiveness and academic performance. The evolution of learning sentiments on MOOC discussion forums is a dynamic process; however, a gap exists in the current understanding of the interplay between evolving sentiments and their impact on…
Descriptors: MOOCs, Student Attitudes, Group Discussion, Computer Mediated Communication
Emily Corinne Saunders – ProQuest LLC, 2024
Prelingually and profoundly deaf individuals learn to read without complete access to the sounds of language. Nevertheless, many become proficient readers, and the neurocognitive underpinnings of deaf readers' processes differ from those of hearing readers, particularly in orthographic processing. In English, morphological structure is relatively…
Descriptors: Deafness, Morphology (Languages), Reading Processes, Brain Hemisphere Functions