Aim: K-12 educators are susceptible to "neuromyths" or misconceptions about the brain and learning, yet how these beliefs relate to practice is not yet understood. This exploratory pilot study investigated how knowledge and beliefs about the brain and learning relate to knowledge of evidence-based teaching and learning principles.
Methods: Preservice teachers (N = 29) completed an online survey that measured their knowledge and beliefs about the brain and learning, including belief in neuromyths, and their knowledge of evidence-based teaching and learning principles.
Results: Pre-service teachers commonly endorsed several neuromyths, consistent with prior research. There was a strong positive correlation between participants' knowledge and beliefs about the brain and learning, and knowledge of evidence-based teaching and learning principles.
Discussion: Our findings suggest that new teachers with better knowledge of the brain and learning may also have more knowledge of evidence-based principles, though more research is needed to determine their impact on teaching.
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http://dx.doi.org/10.1016/j.tine.2024.100228 | DOI Listing |
PLoS Biol
January 2025
Department of Cell and Systems Biology, University of Toronto, Toronto, Canada.
Successful resolution of approach-avoidance conflict (AAC) is fundamentally important for survival, and its dysregulation is a hallmark of many neuropsychiatric disorders, and yet the underlying neural circuit mechanisms are not well elucidated. Converging human and animal research has implicated the anterior/ventral hippocampus (vHPC) as a key node in arbitrating AAC in a region-specific manner. In this study, we sought to target the vHPC CA1 projection pathway to the nucleus accumbens (NAc) to delineate its contribution to AAC decision-making, particularly in the arbitration of learned reward and punishment signals, as well as innate signals.
View Article and Find Full Text PDFPLoS Comput Biol
January 2025
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
The "similarity of dissimilarities" is an emerging paradigm in biomedical science with significant implications for protein function prediction, machine learning (ML), and personalized medicine. In protein function prediction, recognizing dissimilarities alongside similarities provides a more detailed understanding of evolutionary processes, allowing for a deeper exploration of regions that influence biological functionality. For ML models, incorporating dissimilarity measures helps avoid misleading results caused by highly correlated or similar data, addressing confounding issues like the Doppelgänger Effect.
View Article and Find Full Text PDFHum Brain Mapp
February 2025
Department of Psychological and Brain Sciences, University of Delaware, Newark, Delaware, USA.
Converging lines of research indicate that inhibitory control is likely to be compromised in contexts that place competing demands on emotional, motivational, and cognitive systems, potentially leading to damaging impulsive behavior. The objective of this study was to identify the neural impact of three challenging contexts that typically compromise self-regulation and weaken impulse control. Participants included 66 healthy adults (M/SD = 29.
View Article and Find Full Text PDFInfancy
January 2025
FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.
The interplay of emotional availability (EA) and child temperament in association with early language development is understudied. We explored associations between maternal EA and infant communicative development and possible moderations by child temperament. Participants were 151 mother-child dyads from the FinnBrain Birth Cohort Study.
View Article and Find Full Text PDFEur J Neurosci
January 2025
Institute of Neuroscience (IONS), UCLouvain, Brussels, Belgium.
Experiencing music often entails the perception of a periodic beat. Despite being a widespread phenomenon across cultures, the nature and neural underpinnings of beat perception remain largely unknown. In the last decade, there has been a growing interest in developing methods to probe these processes, particularly to measure the extent to which beat-related information is contained in behavioral and neural responses.
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