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McVey, Lynn; Nolan, Greg; Lees, John – British Journal of Guidance & Counselling, 2020
According to the theory of predictive processing, understanding in the present involves non-consciously representing the immediate future, based on probabilistic inference shaped by learning from the past. This paper suggests links between this neuroscientific theory and the psychoanalytic concept of reverie -- an empathic, containing attentional…
Descriptors: Learning Processes, Psychiatry, Counselor Client Relationship, Neurosciences
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Halpern, David; Tubridy, Shannon; Wang, Hong Yu; Gasser, Camille; Popp, Pamela Osborn; Davachi, Lila; Gureckis, Todd M. – International Educational Data Mining Society, 2018
Knowledge tracing is a popular and successful approach to modeling student learning. In this paper we investigate whether the addition of neuroimaging observations to a knowledge tracing model enables accurate prediction of memory performance in held-out data. We propose a Hidden Markov Model of memory acquisition related to Bayesian Knowledge…
Descriptors: Learning Processes, Memory, Prediction, Second Language Learning
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Paul Marshall; Timothy W. Bredy – npj Science of Learning, 2016
A complete understanding of the fundamental mechanisms of learning and memory continues to elude neuroscientists. Although many important discoveries have been made, the question of how memories are encoded and maintained at the molecular level remains. So far, this issue has been framed within the context of one of the most dominant concepts in…
Descriptors: Learning Processes, Memory, Neurosciences, Brain Hemisphere Functions