Survey of Robotics in Education, Taxonomy, Applications, and Platforms during COVID-19

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 ltering Taxonomy 1,it was found that 98 scientic 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 specic eld 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.

Applying project‐based learning in artificial intelligence and marine discipline:An evaluation study on a robotic sailboat platform

intelligence is penetrating various fields.The demand for interdisciplinary talent is increasingly important,while interdisciplinary educational activities for high school students are lagging behind.Project‐based learning(PBL)in artificial intelligence(AI)and robotic education activities supported by a robotic sailboat platform,the sailboat test arena(STAr),has been shown to popularise AI and robotic knowledge in young students.In the implementation of the programme,PBL was provided for students,and gamification pedagogy was applied to increase participants'learning motivation and engagement.The results show that the proposed STAr‐based programme is capable of delivering the desired knowledge and skills to students at high school levels.The assessment results suggest that most students achieve learning outcomes on average.Students showed more interest in AI and marine disciplines and were willing to participate in more such educational programs.The findings fill the research gap that few existing education platforms have facilitated the teaching and learning of AI and marine disciplines for high school students.