Results 21 to 30 of about 4,248,850 (268)

Computer technologies of teaching mathematics in economic university

open access: yesВестник СибАДИ, 2017
The authors present the research results of methodical aspects of using computer technologies in the process of teaching students, majoring in economics, of mathematics on the basis of the competency building approach. The authors offer a method of using
N. A Burmistrova, N. A. Meshcheryakova
doaj   +1 more source

Mathematical modeling of tumor growth and treatment [PDF]

open access: yes, 2014
Using mathematical models to simulate dynamic biological processes has a long history. Over the past couple of decades or so, quantitative approaches have also made their way into cancer research.
Chaplain, Mark A. J.   +2 more
core   +1 more source

Mathematical resilience and mathematical modeling competency: Exploring the mediation effect of subjective academic well-being [PDF]

open access: yes
The present study aimed to explore the mediating role of subjective academic well-being in the relationship between the three dimensions of mathematical resilience (value, struggle, and growth) and mathematical modeling competency among fifth grade ...
Veysel Akçakın, Ali Zengin
core   +2 more sources

The effect of education and training on competency [PDF]

open access: yes, 2010
This paper analyses the concept of competence and the important effect of education and training on the individual competence, hence the organizational competence. The purpose of this paper is first to describe the development of competence and define it;
Alainati, S   +2 more
core   +4 more sources

ICT competence formation model of a future primary school teacher

open access: yesRUDN Journal of Informatization in Education, 2020
Problem and purpose. The article is devoted to the problem of the formation of ICT competence in future primary school teachers. In the context of global mass communication, the most valuable resource today is the ability to analyze, systematize, and ...
Sergey A. Beshenkov   +1 more
doaj   +1 more source

Mathematical modeling and treating tumors in a fuzzy environment [PDF]

open access: yesComputational Algorithms and Numerical Dimensions
To better understand how things work in biology, you can use mathematics to figure things out. Cancer modeling is a complex biological process that is highly unpredictable, which fuzzy models in this study have achieved.
Aadil Sheergojri, Pervaiz Iqbal
doaj   +1 more source

A nationwide student survey on biochemistry learning resources in Italy

open access: yesFEBS Open Bio, EarlyView.
We conducted a survey among Italian university students to investigate their preferred study materials for biochemistry. We then analyzed the collected data to identify these materials. This information may be valuable to the Biochemistry educational community. The graphical abstract was created with Claude (Opus 5.5; Anthropic, 2026).
Anna Marabotti   +4 more
wiley   +1 more source

Mathematical modelling competence. Selected current research developments

open access: yesAvances de Investigación en Educación Matemática, 2020
Current research areas in the field of mathematical modelling are identified on the basis of specific research and development projects. Modelling cycles are an important theoretical basis for this. The measurement of students modelling competence as well as that of competence for teaching mathematical modelling with the help of written tests are key ...
openaire   +4 more sources

Means, standard deviations, and Pearson correlations between mathematical modeling competency, achievement Goals and sub-construct of metacognition.

open access: yes, 2018
Means, standard deviations, and Pearson correlations between mathematical modeling competency, achievement Goals and sub-construct of metacognition.
Sharifah Norul Akmar Syed Zamri (5937899)   +2 more
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

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