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Chun Yan Enoch Sit; Siu-Cheung Kong – Journal of Educational Computing Research, 2024
Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…
Descriptors: Learning Processes, Learning Analytics, Algorithms, Guidelines
Byung-Doh Oh – ProQuest LLC, 2024
Decades of psycholinguistics research have shown that human sentence processing is highly incremental and predictive. This has provided evidence for expectation-based theories of sentence processing, which posit that the processing difficulty of linguistic material is modulated by its probability in context. However, these theories do not make…
Descriptors: Language Processing, Computational Linguistics, Artificial Intelligence, Computer Software
Tracey Tokuhama-Espinosa; Jovi R. S. Nazareno; Christopher Rappleye – Teachers College Press, 2024
Writing is the highest form of thinking, as evidenced by neuroimaging that shows how more neural networks are activated simultaneously during writing than during any other cognitive activity. This book will help teachers understand how the brain learns to write by unveiling 15 stages of thinking that underpin the writing process, along with…
Descriptors: Neurosciences, Writing Assignments, Writing Processes, Feedback (Response)