Challenges of Online Learning in Nigeria

Kabir Abdulmajeed, David A. Joyner, Christine A. McManus
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引用次数: 11

Abstract

Education has traditionally been administered via physical interactions between teachers and students in classrooms. Through technological advancement in communications and digital devices, online education has been developed with the potential to scale education, making it affordable and accessible. With an internet connection and a laptop or mobile phone, learners can access massive open online courses (MOOCs) for free. Nonetheless, the opportunity to scale education and the advantages of online learning are not always fulfilled due to certain challenges. In this work, Socioeconomic, Sociocultural, and IT infrastructural factors are categorized as challenges hindering the adoption of online learning in Nigeria. Although some factors mitigating online learning have been identified in the past, there is relatively little empirical evidence indicating the reality and severity of these challenges. Since scaling education involves worldwide reach, local contexts such as found in Nigeria and other developing countries become critical. The objective of this work, therefore, is to understand these challenges, present empirical evidence through a questionnaire survey, rank these challenges in order of severity, and propose solutions.
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尼日利亚在线学习的挑战
传统上,教育是通过教师和学生在教室里的身体互动来进行的。通过通信和数字设备的技术进步,在线教育已经发展起来,具有扩大教育规模的潜力,使其负担得起并易于获得。有了互联网连接和笔记本电脑或手机,学习者就可以免费学习大规模开放在线课程(MOOCs)。然而,由于某些挑战,扩大教育规模的机会和在线学习的优势并不总是能够实现。在这项工作中,社会经济、社会文化和信息技术基础设施因素被归类为阻碍尼日利亚采用在线学习的挑战。尽管过去已经确定了一些缓解在线学习的因素,但表明这些挑战的现实和严重性的经验证据相对较少。由于扩大教育规模涉及到全球范围,尼日利亚和其他发展中国家的当地环境就变得至关重要。因此,这项工作的目的是了解这些挑战,通过问卷调查提供经验证据,按严重程度对这些挑战进行排名,并提出解决方案。
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Trust, Sustainability and [email protected] L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1 - 3, 2022 L@S'21: Eighth ACM Conference on Learning @ Scale, Virtual Event, Germany, June 22-25, 2021 Leveraging Book Indexes for Automatic Extraction of Concepts in MOOCs Evaluating Bayesian Knowledge Tracing for Estimating Learner Proficiency and Guiding Learner Behavior
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