2019冠状病毒病对加纳教育的影响:来自小学、初中和高中儿童的叙述

I. K. Amponsah, Sylvia Ankamah, Helena Amoakohene Anarfi, Carine Lesley Malor
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引用次数: 1

摘要

在影响人类生存的大流行中,起源不明的新冠病毒破坏了我们周围一切事物的自然结构和循环。教育,尤其是孩子们的社会生活受到了危害,迫使我们寻找新的方式来生存。本研究从加纳留守家庭的中小学生的角度调查了covid-19对教育的影响。由于大流行,描述性研究通过互联网(社交媒体、电子邮件、WhatsApp等)使用滚雪球抽样吸引了全国各地的受访者。结果得出的主要结论是,孩子们在家学习时,主要依靠父母的电子产品和/或电脑,使用手动和/或在线方法。他们在网上学习时面临的主要问题是网络连接不良和昂贵的数据。大多数人(54.6%)表示,他们希望在疫情期间复课,因为他们大多想念朋友和老师,有时也需要在家学习的帮助。少数人(45.4%)更愿意呆在家里,因为害怕感染家人。该研究为新常态下的年轻人推荐了一种有效而健康的教育连续性方法(少上课时间和在线学习)。
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Effect of COVID-19 on Education in Ghana: Narratives from Primary, Junior High and Senior High School children
Among the pandemics that have affected human existence, the Covid-19 virus with uncertain genesis has deracinated the natural structure and cycle of everything around us. Education and especially children’s social life has been jeopardized forcing us to find new ways of doing things in the quest to survive. This study investigated the effect of covid-19 on education from the perspective of primary and high school children staying at home in Ghana. Due to the pandemic, the descriptive study drew respondents across the country using snowball sampling via the internet (social media, email, WhatsApp, etc). Results lead to major conclusions that children employed both manual and/or online methods of learning at home mostly relying on parents’ electronic gadgets and/or computers. They faced mostly issues of bad internet connectivity and expensive data while learning online. Majority (54.6%) claimed they want to resume school amid the pandemic because they mostly miss their friends and teachers and also sometimes needs help studying at home. The strong minority (45.4%) prefer to stay home for fear of infecting their family members. The study recommends an effective but healthy method of educational continuity (small contact hours and online studies) for our youth in this new normal.
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期刊介绍: Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively. Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on. Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.
期刊最新文献
[ICMRSISIIT 2019 Front matter] Performance Analysis of SISO and MIMO Communication Systems using Multiple Point Scatter Model Effect of COVID-19 on Education in Ghana: Narratives from Primary, Junior High and Senior High School children Gender-inspired Facial Age Recognition based on Reflexivity, Antisymmetry and Transitivity Nature-inspired search method for IoT-based water leakage location detection system
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