Survey of Robotics in Education, Taxonomy, Applications, and Platforms during COVID-9
| Autor: | R. Jamaludin, M. N. Ab Wahab, Hussain A. Younis, Ahmad Sufril Azlan Mohamed |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Coronavirus disease 2019 (COVID-19)
business.industry Scopus Library science Robotics Field (computer science) Computer Science Applications Biomaterials Systematic review Mechanics of Materials Educational robotics Modeling and Simulation Taxonomy (general) Robot Artificial intelligence Sociology Electrical and Electronic Engineering business |
| Zdroj: | Computers, Materials & Continua. 67:687-707 |
| ISSN: | 1546-2226 |
| Popis: | The coronavirus disease 2019 (COVID-19) is characterized as a disease caused by a novel coronavirus known as severe acute respiratory coronavirus syndrome 2 (SARS-CoV-2;formerly known as 2019-nCoV) In December 2019, COVID-19 began to appear in a few countries By the beginning of 2020, it had spread to most countries across the world This is when education challenges began to arise The COVID-19 crisis led to the closure of thousands of schools and universities all over the world Such a situation requires reliance on e-learning and robotics education for students to continue their studies to avoid the mingling between people and students In relation to this alternative learning solution, the present study was conducted A systematic literature review on educational robotics (ER) keywords between 2015–2020 was carried out for the purpose to review a total of 2253 articles from the selected sources;Scopus (452), Taylor & Francis (311), Science Direct (427), IEEE Xplore (221), and Web of Science (842) This review procedure was labelled as Taxonomy 1 After filtering Taxonomy 1, it was found that 98 scientific articles formed the so-called Taxonomy II that was categorized into six categories: (i) Robotics concepts, (ii) Device, (iii) Robotic applications, (iv) Manufacturing robots, (v) Robotics analysis, and (vi) Education/taxonomy For this study, only 35 articles in this specific field were selected, of which were then assigned into three categories: (i) Application, (ii) Platform, and (iii) Educational The results show that the application category carries 17 4%, platform 20%, and education 22 85% This study serves as the application platform to help students, academics, and researchers © 2021 Tech Science Press All rights reserved |
| Databáze: | OpenAIRE |
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