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Sarah H. Solomon; Anna C. Schapiro – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Concepts contain rich structures that support flexible semantic cognition. These structures can be characterized by patterns of feature covariation: Certain features tend to cluster in the same items (e.g., "feathers," "wings," "can fly"). Existing computational models demonstrate how this kind of structure can be…
Descriptors: Concept Formation, Learning Processes, Verbal Stimuli, Visual Stimuli
Deirdre M. McCarthy; Thomas J. Spencer; Pradeep G. Bhide – Journal of Attention Disorders, 2024
Objective: We offer an overview of ADHD research using mouse models of nicotine exposure. Method: Nicotine exposure of C57BL/6 or Swiss Webster mice occurred during prenatal period only or during the prenatal and the preweaning periods. Behavioral, neuroanatomical and neurotransmitter assays were used to investigate neurobiological mechanisms of…
Descriptors: Models, Attention Deficit Hyperactivity Disorder, Smoking, Animals
Zelazo, Philip David; Carlson, Stephanie M. – Journal of Cognition and Development, 2023
Executive function (EF) skills are a set of attention-regulation skills involved in intentional, goal-directed behavior that include (but are not limited to) the cool EF skills of working memory, cognitive flexibility, and inhibitory control, and also the hot EF skill of intentional reevaluation. These skills are inevitably expressed in goal- and…
Descriptors: Executive Function, Short Term Memory, Cognitive Processes, Inhibition
Jones, Samuel David; Brandt, Silke – Cognitive Science, 2020
High phonological neighborhood density has been associated with both advantages and disadvantages in early word learning. High density may support the formation and fine-tuning of new word sound memories--a process termed lexical configuration (e.g., Storkel, 2004). However, new high-density words are also more likely to be misunderstood as…
Descriptors: Emergent Literacy, Vocabulary Development, Toddlers, Phonology
Maria Psyridou; Tuire Koponen; Asko Tolvanen; Kaisa Aunola; Marja-Kristiina Lerkkanen; Anna-Maija Poikkeus; Minna Torppa – Journal of Educational Psychology, 2024
The early prediction of math difficulties (MD) is important as it facilitates timely support. MD are multifaceted, and several factors are involved in their manifestation. This makes the accurate early prediction of MD particularly challenging. In the present study, we aim to predict MD in Grade 6 with kindergarten-age (age 6) measures by applying…
Descriptors: Mathematics Achievement, Kindergarten, Young Children, Grade 6
Yates, Luke; Hobson, Hannah – Autism: The International Journal of Research and Practice, 2020
The mirror neuron system has been argued to be a key brain system responsible for action understanding and imitation. Subsequently, mirror neuron system dysfunction has therefore been proposed to explain the social deficits manifested within autism spectrum condition, an approach referred to as the broken mirror hypothesis. Despite excitement…
Descriptors: Autism, Pervasive Developmental Disorders, Neurological Organization, Neurological Impairments
Lee, Don Dong-hyun; Cho, Soon-jeong – Asia Pacific Education Review, 2021
For outsiders to higher education institutions (HEIs) in South Korea, predicting the outcomes of the International Education Quality Assurance System (IEQAS)--a Korean institutional accreditation system for HEIs--is challenging. The annual IEQAS accreditation has been conducted behind closed doors; the assessment process is confidential, and there…
Descriptors: Foreign Countries, Accreditation (Institutions), Quality Assurance, Educational Quality
Tuomi, Ilkka – European Commission, 2019
This report describes the current state of the art in artificial intelligence (AI) and its potential impact for learning, teaching, and education. It provides conceptual foundations for well-informed policy-oriented work, research, and forward-looking activities that address the opportunities and challenges created by recent developments in AI.…
Descriptors: Artificial Intelligence, State of the Art Reviews, Educational Practices, Educational Policy
Testolin, Alberto; Stoianov, Ivilin; Sperduti, Alessandro; Zorzi, Marco – Cognitive Science, 2016
Learning the structure of event sequences is a ubiquitous problem in cognition and particularly in language. One possible solution is to learn a probabilistic generative model of sequences that allows making predictions about upcoming events. Though appealing from a neurobiological standpoint, this approach is typically not pursued in…
Descriptors: Orthographic Symbols, Neurological Organization, Models, Probability
Poulton, Alison; Whale, Samina; Robinson, Joanne – Journal of Psychologists and Counsellors in Schools, 2016
Attention deficit hyperactivity disorder (ADHD) is frequently associated with oppositional defiant disorder (ODD). The Mental Effort Reward Imbalances Model (MERIM) explains this observational association as follows: in ADHD a disproportionate level of mental effort is required for sustaining concentration for achievement; in ODD the subjective…
Descriptors: Attention Deficit Hyperactivity Disorder, Models, Positive Reinforcement, Neuropsychology
Kommers, Piet, Ed.; Issa, Tomayess, Ed.; Issa, Theodora, Ed.; McKay, Elspeth, Ed.; Isias, Pedro, Ed. – International Association for Development of the Information Society, 2016
These proceedings contain the papers and posters of the International Conferences on Internet Technologies & Society (ITS 2016), Educational Technologies (ICEduTech 2016) and Sustainability, Technology and Education (STE 2016), which have been organised by the International Association for Development of the Information Society and…
Descriptors: Conferences (Gatherings), Foreign Countries, Internet, Educational Technology