Results 251 to 260 of about 1,178,121 (309)

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Examining the infographic design instructional process in terms of prospective mathematics teachers' infographic design proficiency, self‑efficacy, and abilities in evaluating student errors: A model proposal. [PDF]

PLoS One
Usta N, Özkaya A, Karamık GA, Akın Y.
europepmc   +1 more source

Teachers' Self-Efficacy in Dyscalculia: Development and Psychometric Validation of a New Scale. [PDF]

J Intell
Oflaz G, Polat K, Mutlu Y, Çam Z.
europepmc   +1 more source

The Moderating Role of Intelligence and Prior Knowledge for the Effectiveness of a Computer-Based Mathematics Intervention in Students with Low Mathematics Performance. [PDF]

J Intell
Herzog M, Grosche M, Bruns G, Casale G.
europepmc   +1 more source

The importance of a mathematical mindset in different academic disciplines. [PDF]

Front Psychol
Xu X, Boaler J, Dieckmann JA.
europepmc   +1 more source

Motivational dynamics in technology-enhanced learning: a parsimonious model of self-efficacy, ICT use, and mathematics achievement. [PDF]

Front Psychol
Zhang Q, Zhou Q, Song M.
europepmc   +1 more source

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EFFECTIVE LEARNING IN MATHEMATICS

EDULEARN Proceedings, 2022
published
Paula Carvalho, Luís Descalço
openaire   +2 more sources

Mathematical Learning Disabilities

2010
Publisher Summary The cognitive research on children has focused on the basic competencies in understanding number, counting, and their arithmetic skills. Children with mathematics learning disability (MLD) and, to a lesser extent, low achieving (LA) children show a deficit or delay in their processing of numbers (e.g., accessing the quantity ...
openaire   +2 more sources

Abstraction in Mathematics Learning

Mathematics Education Research Journal, 2007
ion has been a frequent discussion topic since the days of Aristotle and Plato. Constructivist theories often espouse the notion of levels of abstraction. Hiebert and Lefevre (1986, pp. 4-5) put it this way: It is useful to distinguish between two levels at which relationships between pieces of mathematical knowledge can be established.
Michael Mitchelmore, Paul White
openaire   +1 more source

Learning mathematics

British Journal of Developmental Psychology, 1987
This paper looks at the issue of early mathematics instruction and whether or not it needs to be delayed until the more general cognitive developmental abilities have appeared. The notion of ‘readiness’ is considered in relation to early mathematics. Evidence is examined on the question of whether or not logical abilities are necessary prerequisites ...
openaire   +1 more source