Asare Andy Ohemeng, Yap Robin, Truong Ngoc, Sarpong Eric Ohemeng
School of Management George Brown College Ontario Canada.
School of Management and Economics University of Electronic Science and Technology of China Chengdu Sichuan China.
J Comput Assist Learn. 2021 Dec;37(6):1591-1605. doi: 10.1111/jcal.12574. Epub 2021 Jun 17.
The current educational disruption caused by the COVID-19 pandemic has fuelled a plethora of investments and the use of educational technologies for Emergency Remote Learning (ERL). Despite the significance of online learning for ERL across most educational institutions, there are wide mixed perceptions about online learning during this pandemic. This study, therefore, aims at examining public perception about online learning for ERL during COVID-19. The study sample included 31,009 English language Tweets extracted and cleaned using Twitter API, Python libraries and NVivo, from 10 March 2020 to 25 July 2020, using keywords: COVID-19, Corona, e-learning, online learning, distance learning. Collected tweets were analysed using word frequencies of unigrams and bigrams, sentiment analysis, topic modelling, and sentiment labeling, cluster, and trend analysis. The results identified more positive and negative sentiments within the dataset and identified topics. Further, the identified topics which are learning support, COVID-19, online learning, schools, distance learning, e-learning, students, and education were clustered among each other. The number of daily COVID-19 related cases had a weak linear relationship with the number of online learning tweets due to the low number of tweets during the vacation period from April to June 2020. The number of tweets increased during the early weeks of July 2020 as a result of the increasing number of mixed reactions to the reopening of schools. The study findings and recommendations underscore the need for educational systems, government agencies, and other stakeholders to practically implement online learning measures and strategies for ERL in the quest of reopening of schools.
由新冠疫情导致的当前教育中断,激发了大量投资以及对用于应急远程学习(ERL)的教育技术的使用。尽管在线学习对大多数教育机构开展应急远程学习至关重要,但在此次疫情期间,人们对在线学习的看法却大相径庭。因此,本研究旨在考察公众对新冠疫情期间应急远程学习在线学习的看法。研究样本包括从2020年3月10日至2020年7月25日,使用关键词“COVID-19”“冠状病毒”“电子学习”“在线学习”“远程学习”,通过推特应用程序编程接口、Python库和NVivo提取并清理的31009条英语推文。使用单字和双字的词频分析、情感分析、主题建模、情感标注、聚类和趋势分析等方法对收集到的推文进行分析。结果在数据集中和所确定的主题中识别出了更多的积极和消极情绪。此外,所确定的主题,即学习支持、COVID-19、在线学习、学校、远程学习、电子学习、学生和教育,相互之间进行了聚类。由于2020年4月至6月假期期间推文数量较少,每日COVID-19相关病例数与在线学习推文数之间存在微弱的线性关系。由于对学校重新开学的反应不一,推文数量在2020年7月初有所增加。研究结果和建议强调,教育系统、政府机构和其他利益相关者在寻求学校重新开学的过程中,需要切实实施应急远程学习的在线学习措施和策略。