The pandemic semesters: Examining public opinion regarding online learning amidst COVID‐19.
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 percept...
| Publicado en: | Journal of Computer Assisted Learning Vol. 37; no. 6; pp. 1591 - 1606 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Dec2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=154143779&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 154143779 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Dec2021 vid: 37 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 154143779 154143779 154143779 10.1111/jcal.12574 154143779 ppf: 1591 ppct: 15 formats: tig: atl: The pandemic semesters: Examining public opinion regarding online learning amidst COVID‐19. aug: au: Asare, Andy Ohemeng Yap, Robin Truong, Ngoc Sarpong, Eric Ohemeng affil: School of Management, George Brown College, Ontario,, Canada sug: subj: COVID-19 Pandemic Public Opinion Evaluation Online Education Human Data Analysis Software Emotions Twitter Trends School Re-Entry Teaching Methods Learning Methods Thematic Analysis Stay-at-Home Orders Vocabulary Cluster Analysis Content Analysis Descriptive Statistics Pearson's Correlation Coefficient Public Opinion Trends ab: 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. Lay Description: What is already known about this topic: The current educational disruption caused by COVID‐19 pandemic has led to a plethora investment and the use of educational technologies for Emergency Remote Learning.There are wide mixed perceptions about online learning for Emergency Remote Learning during the current pandemic.There is little to no research conducted to examine public perception about online learning for Emergency Remote Learning during COVID‐19.The research paper's significant contribution is to investigate the opinions and perceptions of people around the world on COVID‐19 and Online Learning related issues. What this paper adds: Twitter was selected for this study due to its wide application and the ease of collecting tweets.Machine learning techniques, including world clouds, sentiment analysis, cluster analysis, correlations analysis, and trends analysis, were applied to identify useful insights..The study revealed topics like 'covid', 'learning', 'online', 'distance', 'students', 'schools' and 'pandemic' as the most mentioned words worldwide with nearly half of the public sentiments being positive (48.9%) and neutral (36%).Reopening of schools has received lots of mixed reactions and online learning appears to be a sustainable option during these unprecedented times. Implications for practice and/or policy: Theoretically, this study corresponds to literature relating to COVID‐19, online learning, and Emergency Remote Learning by exploring word frequency, discussed topic, public sentiments, relationships between themes, correlation, and trend analysis.This study recommends that educational institutions, government agencies and other stakeholders should work together to ensure an efficient and effective online learning policies, implementation, and its utilization for Emergency Remote Learning (ERL) as we fight the pandemic.Also, schools need to consider providing further support for educators and students by delivering workshop trainings on the importance and effective use of the online learning system for Emergency Remote Learning (ERL).Further, counselling services are strongly recommended to be made available online for educators and students to increase their teaching and learning morale. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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