Matlab in engineering education

Pócsová, Jana; Mojzisova, Andrea; Mikulszky, Matej

doi:10.1109/carpathiancc.2018.8399688

Cited by 4 publications

(2 citation statements)

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“…Visualization supports the learning and understanding of concepts when analyzing and solving problems. It can improve or even replace some verbal explanations [13]. Integrating visualization into static documents is a substantial enhancement, but the non-dynamicity of the medium is a big limiting factor.…”

Section: Computational Software and Online Study Materialsmentioning

confidence: 99%

“…Nowadays, successful engineers cannot be without computational skills, which they acquire from solving problems in computational software. An example of such software for conveniently expressing, analyzing, modeling, and solving problems is MATLAB, which has been implemented into mathematics courses at many universities [6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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The Impact of the COVID-19 Pandemic on Teaching Mathematics and Students’ Knowledge, Skills, and Grades

et al. 2021

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As a consequence of the COVID-19 pandemic and measures to secure public health, many processes have moved to the online space. The educational process is not an exception. Our main goal, which is presented in this article, was to re-design the educational process from face-to-face to distance learning in the Mathematics 1 course at the Technical University of Košice. This article describes our approach to teaching, observations, and experience. This case study examines three factors: Firstly, the impact of distance education on overall assessments of students. Using descriptive statistics, the results of student evaluations were compared from the overall assessments for the last six academic years. It was found that distance learning does not affect excellent students and eliminates the number of students who do not pass. Secondly, the participation of students during online lessons, and thirdly, the use of electronic materials. The questionnaire survey and the data from the learning management system Moodle were used to examine the second and third factors. Descriptive statistics were used to describe the questionnaire survey data (frequencies, percentages and averages). An exploratory factor analysis was performed in order to assess the underlying key concepts regarding student evaluation of the teaching process. The exploratory factor analysis confirmed that this questionnaire followed the four key concepts.

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Section: Computational Software and Online Study Materialsmentioning

confidence: 99%