Results 11 to 20 of about 19,335,962 (161)

Discovering Learning Potential in Secondary Education Using a Dynamic Screening Instrument

open access: yesEducation 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   +3 more
doaj   +1 more source

Improving the accuracy of the neuroevolution machine learning potential for multi-component systems [PDF]

open access: yesJournal of Physics: Condensed Matter, 2021
In a previous paper Fan et al (2021 Phys. Rev. B 104, 104309), we developed the neuroevolution potential (NEP), a framework of training neural network based machine-learning potentials using a natural evolution strategy and performing molecular dynamics (
Z. Fan
semanticscholar   +1 more source

Machine-learning potential of a single pendulum. [PDF]

open access: yesPhysical Review E, 2022
Reservoir computing offers a great computational framework where a physical system can directly be used as computational substrate. Typically a "reservoir" is comprised of a large number of dynamical systems, and is consequently high dimensional. In this
S. Mandal, S. Sinha, M. Shrimali
semanticscholar   +1 more source

Artificial Intelligence, Machine Learning and Deep Learning: Potential Resources for the Infection Clinician.

open access: yesJournal of Infection, 2023
BACKGROUND Artificial intelligence (AI), machine learning and deep learning (including generative AI) are increasingly being investigated in the context of research and management of human infection.
A. Theodosiou, R. Read
semanticscholar   +1 more source

Modeling Electronic Response Properties with an Explicit-Electron Machine Learning Potential. [PDF]

open access: yesJournal of Chemical Theory and Computation, 2021
Explicit-electron force fields introduce electrons or electron pairs as semiclassical particles in force fields or empirical potentials, which are suitable for molecular dynamics simulations.
Maarten Cools-Ceuppens   +2 more
semanticscholar   +1 more source

Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning

open access: yesSocial Science Research Network, 2023
Since its maiden release into the public domain on November 30, 2022, ChatGPT garnered more than one million subscribers within a week. The generative AI tool ⎼ChatGPT took the world by surprise with it sophisticated capacity to carry out remarkably ...
David Baidoo-Anu, Leticia Owusu Ansah
semanticscholar   +1 more source

A Review on Dynamic Assessment (DA) in Iran

open access: yesCritical Literary Studies, 2020
Dynamic Assessment, referred to in this paper as DA, is one of the various methods of adopting a particular evaluation procedure in order to identify possessed language skills of individual learners in addition to their learning perspective.
Sako Nasiri
doaj   +1 more source

The advantages of humanistic science learning tools

open access: yesInternational 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

Toward High-level Machine Learning Potential for Water Based on Quantum Fragmentation and Neural Networks.

open access: yesJournal of Physical Chemistry A, 2022
Accurate and efficient simulation of liquids, such as water and salt solutions, using high-level wave function theories is still a formidable task for computational chemists owing to the high computational costs.
Jinfeng Liu, Jinggang Lan, Xiao He
semanticscholar   +1 more source

High-Intensity Interval Training Is Equivalent to Moderate-Intensity Continuous Training for Short- and Medium-Term Outcomes of Glucose Control, Cardiometabolic Risk, and Microvascular Complication Markers in Men With Type 2 Diabetes

open access: yesFrontiers in Endocrinology, 2018
We sought to determine the efficacy of 12 weeks high-intensity interval training (HIIT), compared to moderate-intensity continuous training (MICT) on glucose control, cardiometabolic risk and microvascular complication markers in men living with type 2 ...
Shohn G. Wormgoor   +5 more
doaj   +1 more source

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