Learning Science and Generalized Anxiety Disorder (GAD)

Stewart, Ian; Stevens, S. S.; Roche, Bryan; Dymond, Simon

doi:10.1002/9781119189909.ch6

Cited by 2 publications

(1 citation statement)

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“…From another perspective, computer simulations are also very useful in reducing students' stress and anxiety levels during their academic learning. Among different socio-economic factors, academic learning is a leading stress factor among students (Britton 2011;Stassart 2017;Khuda 2020;Yang 2018;Stewart 2020). Being in a state of anxiety during education hurts cognitive functioning and thus degrades learning.…”

Section: Introductionmentioning

confidence: 99%

Development of Numerical Modeling for Finding Reflection and Transmission Coefficients in an Engineering Learning Paradigm of Computational Thinking

Khuda

2022

Nepal Journal of Science and Technology

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In electromagnetics and antenna engineering, reflection and transmission coefficients are important parameters to be evaluated statistically and numerically to obtain effective computer simulations. This paper proposes a pedagogy to understand the development methodology of numerical reflection and transmission coefficient models. The proposed method employs relatively easy mathematics instead of the conventional ways that use difficult mathematics. These are then simulated as computer models. The study in this paper included a medium comprising of air and glass placed in it. Firstly, the region was divided into a gridded structure where the grids were mathematically formulated. Points on the grid were distinguished between different media using electrical permittivity and conductivity. The grids included boundary conditions and electric field wave propagation through them. Both boundary conditions and field equations were numerically modelled and discretized using the finite difference method with a proportional h2 error. This method provided a system of linear equations, which were then solved linearly to obtain the required reflection and transmission coefficients. An important aspect of the presented work is to provide an example approach for computational thinking (CT), which is now considered an important part of any engineering curriculum

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