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K- means Clustering of Online Learning Profiles of Higher Education Teachers and Students Amid Covid19 Pandemic

机译:K-意味着高等教育教师和学生在线学习型材的聚类在Covid19大流行中

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The unparalleled impact of the Covid19 pandemic prompted most countries to declare lockdown to prohibit human interactions and implement physical and social distancing. The Education system endured the most overwhelming implications. Institutions shutdown, gatherings were banned, and face to face classes was suspended. Many schools and universities were forced to shift to fully online or blended learning. This swift change in instruction mode in academic communities became a great challenge for students and teachers alike. This study investigates the readiness of each individual who is part of the online learning process. A survey was conducted on 420 respondents to profile them according to their level of confidence, the level of provisions and support they are provided, and preparedness for online learning. K-means clustering algorithm was used to profile the respondents into three categories. Then, a profile of the actual online experience is presented. It is shown that among the 420 respondents, 217 (51.67%) belong to the Movers, 148 (35.24%) belong to the Trailers, and 55 (13.09%) belong to the Catchers.
机译:Covid19大流行的无与伦比的影响促使大多数国家宣布锁定禁止人类互动并实施身体和社会偏移。教育系统忍受了最强大的影响。机构关机,收集被禁止,面对面部课程被暂停。许多学校和大学被迫在线转移到完全在线或混合学习。学术界中的教学模式的迅速变化成为学生和教师的巨大挑战。本研究调查了每个人的一部分在线学习过程的愿意。在420名受访者中进行了一项调查,以根据他们的信心水平,提供的规定和支持水平,以及在线学习的准备。 K-means聚类算法用于将受访者分为三类。然后,提出了实际在线经验的简档。结果表明,在420名受访者中,217(51.67%)属于搬运工,148名(35.24%)属于拖车,55(13.09))属于捕手。

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