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Artificial Neural Networks and the Actiotope Model of Giftedness—Clever Solutions from Complex Environments

Since its inception, the Actiotope Model of Giftedness (AMG) has provided researchers with a useful model to explain the development of exceptionality. Rather than a focus on the individual, the model postulates that exceptionality is the outcome of a system that includes complex interactions betwee...

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Autores principales: Phillipson, Shane N., Han, Cindy Di, Lee, Vincent C. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381310/
https://www.ncbi.nlm.nih.gov/pubmed/37504771
http://dx.doi.org/10.3390/jintelligence11070128
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author Phillipson, Shane N.
Han, Cindy Di
Lee, Vincent C. S.
author_facet Phillipson, Shane N.
Han, Cindy Di
Lee, Vincent C. S.
author_sort Phillipson, Shane N.
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description Since its inception, the Actiotope Model of Giftedness (AMG) has provided researchers with a useful model to explain the development of exceptionality. Rather than a focus on the individual, the model postulates that exceptionality is the outcome of a system that includes complex interactions between an individual’s current level of talent and their internal and external environment. To date, however, the statistical techniques that have been used to investigate the model, including linear regression and structural equation modeling, are unable to fully operationalize the systemic nature of these interactions. In order to fully realize the predictive potential and application of the AMG, we outline the use of artificial neural networks (ANNs) to model the complex interactions and suggest that such networks can provide additional insights into the development of exceptionality. In addition to supporting continued research into the AMG, the use of ANNs has the potential to provide educators with evidence-based strategies to support student learning at both an individual and whole-school level.
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spelling pubmed-103813102023-07-29 Artificial Neural Networks and the Actiotope Model of Giftedness—Clever Solutions from Complex Environments Phillipson, Shane N. Han, Cindy Di Lee, Vincent C. S. J Intell Concept Paper Since its inception, the Actiotope Model of Giftedness (AMG) has provided researchers with a useful model to explain the development of exceptionality. Rather than a focus on the individual, the model postulates that exceptionality is the outcome of a system that includes complex interactions between an individual’s current level of talent and their internal and external environment. To date, however, the statistical techniques that have been used to investigate the model, including linear regression and structural equation modeling, are unable to fully operationalize the systemic nature of these interactions. In order to fully realize the predictive potential and application of the AMG, we outline the use of artificial neural networks (ANNs) to model the complex interactions and suggest that such networks can provide additional insights into the development of exceptionality. In addition to supporting continued research into the AMG, the use of ANNs has the potential to provide educators with evidence-based strategies to support student learning at both an individual and whole-school level. MDPI 2023-06-25 /pmc/articles/PMC10381310/ /pubmed/37504771 http://dx.doi.org/10.3390/jintelligence11070128 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Concept Paper
Phillipson, Shane N.
Han, Cindy Di
Lee, Vincent C. S.
Artificial Neural Networks and the Actiotope Model of Giftedness—Clever Solutions from Complex Environments
title Artificial Neural Networks and the Actiotope Model of Giftedness—Clever Solutions from Complex Environments
title_full Artificial Neural Networks and the Actiotope Model of Giftedness—Clever Solutions from Complex Environments
title_fullStr Artificial Neural Networks and the Actiotope Model of Giftedness—Clever Solutions from Complex Environments
title_full_unstemmed Artificial Neural Networks and the Actiotope Model of Giftedness—Clever Solutions from Complex Environments
title_short Artificial Neural Networks and the Actiotope Model of Giftedness—Clever Solutions from Complex Environments
title_sort artificial neural networks and the actiotope model of giftedness—clever solutions from complex environments
topic Concept Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381310/
https://www.ncbi.nlm.nih.gov/pubmed/37504771
http://dx.doi.org/10.3390/jintelligence11070128
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