Results 11 to 20 of about 1,579,753 (313)

The Influence of Computerized Dynamic Assessment on the Learning Potential of Graphical Analogical Reasoning in Children with Autism: Evidence from Eye-Movement Synchronization [PDF]

Behavioral Sciences
Graphical analogical reasoning ability is crucial for the cognitive development of children with autism spectrum disorder (ASD). However, there are currently no methods available to enhance its analogical reasoning potential.
Kun Zhang, Ying Zhang, Jingying Chen, Yating Dai, Yuanxu Jin   +4 more
doaj   +2 more sources

Selecting for Learning Potential: Is Implicit Learning the New Cognitive Ability? [PDF]

Journal of Intelligence, 2022
For decades, the field of workplace selection has been dominated by evidence that cognitive ability is the most important factor in predicting performance. Meta-analyses detailing the contributions of a wide-range of factors to workplace performance show
Luke M. Montuori, Lara Montefiori
doaj   +2 more sources

Machine Learning Potential for Serpentines

Journal of Geophysical Research: Machine Learning and Computation
Serpentines are layered hydrous magnesium silicates (MgO⋅SiO2⋅H2O) formed through serpentinization, a geochemical process that significantly alters the physical property of the mantle.
Hongjin Wang, Chenxing Luo, Renata M. Wentzcovitch   +2 more
doaj   +3 more sources

Discovering Learning Potential in Secondary Education Using a Dynamic Screening Instrument

Education Sciences, 2023
This study aimed to investigate the effectiveness of a newly developed dynamic screening instrument, using a learning phase with standardized prompts, to assess first year secondary school students’ potential for learning.
Nina van Graafeiland, Jochanan Veerbeek, Barbara Janssen, Bart Vogelaar   +3 more
doaj   +1 more source

Learning to swim in potential flow [PDF]

Physical Review Fluids, 2021
Fish swim by undulating their bodies. These propulsive motions require coordinated shape changes of a body that interacts with its fluid environment, but the specific shape coordination that leads to robust turning and swimming motions remains unclear. To address the problem of underwater motion planning, we propose a simple model of a three-link fish ...
Yusheng Jiao, Feng Ling, Sina Heydari, Nicolas Heess, Josh Merel, Eva Kanso   +5 more
openaire   +2 more sources

Machine Learning of Reactive Potentials

Annual Review of Physical Chemistry, 2023
In the past two decades, machine learning potentials (MLPs) have driven significant developments in chemical, biological, and material sciences. The construction and training of MLPs enable fast and accurate simulations and analysis of thermodynamic and kinetic properties.
Yinuo Yang, Shuhao Zhang, Kavindri Ranasinghe, Olexandr Isayev, Adrian Roitberg   +4 more
openaire   +2 more sources

The advantages of humanistic science learning tools

International Journal of Trends in Mathematics Education Research, 2022
This study aimed to determine the advantages of humanistic science learning tools. The collection data was cocducted by in-depth interviews and questionnaire.
Sudarto Sudarto
doaj   +1 more source

Learning Rationality in Potential Games

2023 62nd IEEE Conference on Decision and Control (CDC), 2023
We propose a stochastic first-order algorithm to learn the rationality parameters of simultaneous and non-cooperative potential games, i.e., the parameters of the agents' optimization problems. Our technique combines (i.) an active-set step that enforces that the agents play at a Nash equilibrium and (ii.) an implicit-differentiation step to update the
Stefan Clarke, Gabriele Dragotto, Jaime Fernández Fisac, Bartolomeo Stellato   +3 more
openaire   +2 more sources

Development and evaluation of the Ingwavuma receptive vocabulary test: A tool for assessing receptive vocabulary in isiZulu-speaking preschool children

South African Journal of Communication Disorders, 2020
Background: This study used local resources- community members, photographer and speech therapists to develop a new test for screening receptive language skills and sought to determine its feasibility for use with a larger population in KwaZulu-Natal ...
Xolisile Mazibuko, Moses Chimbari
doaj   +1 more source

Learning in near-potential games [PDF]

IEEE Conference on Decision and Control and European Control Conference, 2011
Except for special classes of games, there is no systematic framework for analyzing the dynamical properties of multi-agent strategic interactions. Potential games are one such special but restrictive class of games that allow for tractable dynamic analysis. Intuitively, games that are “close” to a potential game should share similar properties.
Ozan Candogan, Asuman E. Ozdaglar, Pablo A. Parrilo   +2 more
openaire   +3 more sources