Children's creativity: A theoretical framework and systematic review
E Kupers, A Lehmann-Wermser… - Review of …, 2019 - journals.sagepub.com
Within education, the importance of creativity is recognized as an essential 21st-century skill.
Based on this premise, the first aim of this article is to provide a theoretical integration …
Based on this premise, the first aim of this article is to provide a theoretical integration …
Static, dynamic, and cognitive fit of exosystems for the human operator
L Stirling, D Kelty-Stephen, R Fineman… - Human …, 2020 - journals.sagepub.com
Objective To define static, dynamic, and cognitive fit and their interactions as they pertain to
exosystems and to document open research needs in using these fit characteristics to inform …
exosystems and to document open research needs in using these fit characteristics to inform …
[HTML][HTML] Complexity in economic and social systems: Cryptocurrency market at around COVID-19
Social systems are characterized by an enormous network of connections and factors that
can influence the structure and dynamics of these systems. Among them the whole …
can influence the structure and dynamics of these systems. Among them the whole …
Dynamic systems, process and development
PLC Van Geert - Human development, 2020 - karger.com
In this article, I answer the questions from Witherington and Boom's introduction to this
special issue in the form of an imaginary interview, led by David Boom, equally imaginary …
special issue in the form of an imaginary interview, led by David Boom, equally imaginary …
Consciousness as a phenomenon in the operational architectonics of brain organization: criticality and self-organization considerations
AA Fingelkurts, AA Fingelkurts, CFH Neves - Chaos, Solitons & Fractals, 2013 - Elsevier
In this paper we aim to show that phenomenal consciousness is realized by a particular
level of brain operational organization and that understanding human consciousness …
level of brain operational organization and that understanding human consciousness …
Leveraging complexity frameworks to refine theories of engagement: Advancing self‐regulated learning in the age of artificial intelligence
JC Hilpert, JA Greene… - British Journal of …, 2023 - Wiley Online Library
Capturing evidence for dynamic changes in self‐regulated learning (SRL) behaviours
resulting from interventions is challenging for researchers. In the current study, we identified …
resulting from interventions is challenging for researchers. In the current study, we identified …
Multifractal test for nonlinearity of interactions across scales in time series
DG Kelty-Stephen, E Lane, L Bloomfield… - Behavior Research …, 2023 - Springer
The creativity and emergence of biological and psychological behavior tend to be nonlinear,
and correspondingly, biological and psychological measures contain degrees of irregularity …
and correspondingly, biological and psychological measures contain degrees of irregularity …
Ergodic characterization of nonergodic anomalous diffusion processes
Anomalous diffusion in various complex systems abounds in nature and spans multiple
space and time scales. Canonical characterization techniques that rely upon mean squared …
space and time scales. Canonical characterization techniques that rely upon mean squared …
Turing's cascade instability supports the coordination of the mind, brain, and behavior
DG Kelty-Stephen, M Mangalam - Neuroscience & Biobehavioral Reviews, 2022 - Elsevier
Turing inspired a computer metaphor of the mind and brain that has been handy and has
spawned decades of empirical investigation, but he did much more and offered behavioral …
spawned decades of empirical investigation, but he did much more and offered behavioral …
Fractal and multifractal descriptors restore ergodicity broken by non-Gaussianity in time series
DG Kelty-Stephen, M Mangalam - Chaos, Solitons & Fractals, 2022 - Elsevier
Ergodicity breaking is a challenge for biological and psychological sciences. Ergodicity is a
necessary condition for linear causal modeling. Long-range correlations and non …
necessary condition for linear causal modeling. Long-range correlations and non …