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Liu, Xinyang; Ardakani, Saeid Pourroostaei – Education and Information Technologies, 2022
The purpose of this study is to propose an e-learning system model for learning content personalisation based on students' emotions. The proposed system collects learners' brainwaves using a portable Electroencephalogram and processes them via a supervised machine learning algorithm, named K-nearest neighbours (KNN), to recognise real-time…
Descriptors: Foreign Countries, Undergraduate Students, Electronic Learning, Artificial Intelligence
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LaBrot, Zachary C.; DeFouw, Emily; Eldridge, Morgan – Education and Treatment of Children, 2021
Several strategies (e.g., performance feedback, video models, tactile prompting) have been found to be effective for improving preservice teachers' use of foundational behavior management skills. However, there is limited research examining these training strategies for promoting preservice clinicians' use of evidence-based behavior management…
Descriptors: School Psychology, Graduate Students, Program Effectiveness, Positive Reinforcement