2017
DOI: 10.1016/j.neuropsychologia.2016.10.002
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Personalized learning: From neurogenetics of behaviors to designing optimal language training

Abstract: Variability in drug responsivity has prompted the development of Personalized Medicine, which has shown great promise in utilizing genotypic information to develop safer and more effective drug regimens for patients. Similarly, individual variability in learning outcomes has puzzled researchers who seek to create optimal learning environments for students. “Personalized Learning” seeks to identify genetic, neural and behavioral predictors of individual differences in learning and aims to use predictors to help… Show more

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Cited by 39 publications
(16 citation statements)
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“…The present study, focusing on objective, presurgical neural measures and their predictive power of postimplantation outcomes in early-deafened children, is one step toward this goal. The present study also lays the foundation for personalized therapy for children with CI (42).…”
Section: Discussionmentioning
confidence: 67%
“…The present study, focusing on objective, presurgical neural measures and their predictive power of postimplantation outcomes in early-deafened children, is one step toward this goal. The present study also lays the foundation for personalized therapy for children with CI (42).…”
Section: Discussionmentioning
confidence: 67%
“…Taking this approach to variation a step farther, Wong et al (2017) examine behavioral, neural, and genetic predictors of learning at the level of the individual, and discuss the applications of personalized learning in the L2 context. Drawing parallels with personalized medicine in the pharmacological field, the authors suggest that understanding individual differences will lead to customization and optimization of language instruction.…”
Section: Individual Differences In L2 Learningmentioning
confidence: 99%
“…Therefore, by taking into account such a linear relationship, our results are thoroughly comparable with these previous data in that the participants who were characterized by a stronger left-hemispheric asymmetry (i.e., the musicians) performed better on the word form learning tasks. However, we are more likely prone to interpret the observed between-group differences by taking into account differential learning strategies 103 . Based on the fact that sensory-to-motor coupling mechanisms have exclusively been attributed to the left hemisphere, the stronger right-sided engagement of the dorsal stream in non-musicians may rather reflect stronger demands placed on working- 104 and episodic 105 , 106 memory functions.…”
Section: Discussionmentioning
confidence: 99%