What do COVID-19 Tweets Reveal about Public Engagement with Nature of Science?

Bichara, David B.; Dagher, Zoubeida R.; Fang, Hui

doi:10.1007/s11191-021-00233-y

Cited by 12 publications

(10 citation statements)

References 42 publications

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“…In these studies, informal science education and experts’ understanding of NOS can be a potential research gap for researchers who are interested in FRA. Regarding informal science education, Bichara et al ( 2022 ) examined how Covid-19 tweets reflected public engagement about NOS. Their study shows that FRA can be a theoretical tool for public science communication.…”

Section: Results and Findingsmentioning

confidence: 99%

A Systematic Review of Research on Family Resemblance Approach to Nature of Science in Science Education

Cheung

Erduran

2022

Sci & Educ

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The paper reports about the outcome of a systematic review of research on family resemblance approach (FRA) to nature of science in (NOS) science education. FRA is a relatively recent perspective on NOS being a system of cognitive-epistemic and social-institutional aspects of science. FRA thus consists of a set of categories such as aims and values, practices, knowledge and social organizations in relation to NOS. Since the introduction of the FRA, there has been increasing interest in investigations about how FRA can be of use in science education both empirically and practically. A journal content analysis was conducted in order to investigate which FRA categories are covered in journal articles and to identify the characteristics of the studies that have used FRA. These characteristics included the target level of education and focus on pre- or in-service teachers. Furthermore, epistemic network analysis of theoretical and empirical papers was conducted to determine the extent to which the studies incorporated various key themes about FRA, such as its transferability to other domains and differentiation of the social-institutional system categories. The findings illustrate an increasing number of empirical studies using FRA in recent years and broad coverage in science education. Although the social-institutional system categories included intraconnections, these were not as strong as those intraconnections among categories within the cognitive-epistemic system. Future research directions for the use of FRA in K-12 science education are discussed.

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Section: Results and Findingsmentioning

confidence: 99%

A Systematic Review of Research on Family Resemblance Approach to Nature of Science in Science Education

Cheung

Erduran

2022

Sci & Educ

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“…The nature of science categories for the analysis of news articles was as follows: aims and values, scientific knowledge, scientific practices, and scientific methods, social certification and dissemination, scientific ethos, social values, professional activities, social organisations and interactions, financial system and political power structures. Each article was examined in terms of the presence or absence of categories of the nature of science (see Table 1) (Bichara et al, 2021;Wu and Erduran, 2022). Each news article can include one or multiple categories of the nature of science.…”

Section: Methodsmentioning

confidence: 99%

Communicating science in the COVID-19 news in the UK during Omicron waves: exploring representations of nature of science with epistemic network analysis

Cheung

Chan

Erduran

2023

Humanit Soc Sci Commun

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News media plays a vital role in communicating scientific evidence to the public during the COVID-19 pandemic. Such communication is important for convincing the public to follow social distancing guidelines and to respond to health campaigns such as vaccination programmes. However, newspapers were criticised that they focus on the socio-political perspective of science, without explaining the nature of scientific works behind the government’s decisions. This paper examines the connections of the nature of science categories in the COVID-19 era by four local newspapers in the United Kingdom between November 2021 to February 2022. Nature of science refers to different aspects of how science works such as aims, values, methods and social institutions of science. Considering the news media may mediate public information and perception of scientific stories, it is relevant to ask how the various British newspapers covered aspects of science during the pandemic. In the period explored, Omicron variant was initially a variant of concern, and an increasing number of scientific evidence showed that the less severity of this variant might move the country from pandemic to endemic. We explored how news articles communicate public health information by addressing how science works during the period when Omicron variants surge. A novel discourse analysis approach, epistemic network analysis is used to characterise the frequency of connections of categories of the nature of science. The connection between political factors and the professional activities of scientists, as well as that with scientific practices are more apparent in left-populated and centralist outlets than in right-populated news outlets. Among four news outlets across the political spectrum, a left-populated newspaper, the Guardian, is not consistent in representing relations of different aspects of the nature of scientific works across different stages of the public health crisis. Inconsistency of addressing aspects of scientific works and a downplay of the cognitive-epistemic nature of scientific works likely lead to failure in trust and consumption of scientific knowledge by the public in the healthcare crisis.

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“…For instance, Twitter has been used to examine different aspects of education such as analyzing students' attitudes (Adnan and Anwar, 2020) and discovering users' perspectives, viewpoints, and sentiments toward online learning (Al-Rubaiee et al, 2016;Bestiantono et al, 2020;Rasmitadila et al, 2020). Due to social isolation and limited mobility during COVID-19, the use of social media increased during that time (Alomari et al, 2021a;Bichara et al, 2022). Twitter has been a rich source for capturing information about education, which was one of the top discussed issues among stakeholders during the pandemic (Alsudias and Rayson, 2020;Zhu et al, 2020).…”

Section: Data Collection and Storagementioning

confidence: 99%

Sustainable Participatory Governance: Data-Driven Discovery of Parameters for Planning Online and In-Class Education in Saudi Arabia During COVID-19

Alswedani¹,

Mehmood²,

Katib³

2022

Front. Sustain. Cities

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Everything about our life is complex. It should not be so. New approaches to governance are needed to tackle these complexities and the rising global challenges. Smartization of cities and societies has the potential to unite us, humans, on a sustainable future for us through its focus on the triple bottom line (TBL) – social, environmental, and economic sustainability. Data-driven analytics are at the heart of this smartization. This study provides a case study on sustainable participatory governance using a data-driven parameter discovery for planning online, in-class, and blended learning in Saudi Arabia evidenced during the COVID-19 pandemic. For this purpose, we developed a software tool comprising a complete machine learning pipeline and used a dataset comprising around 2 million tweets in the Arabic language collected during a period of over 14 months (October 2020 to December 2021). We discovered fourteen governance parameters grouped into four governance macro parameters. These discovered parameters by the tool demonstrate the possibility and benefits of our sustainable participatory planning and governance approach, allowing the discovery and grasp of important dimensions of the education sector in Saudi Arabia, the complexity of the policy, the procedural and practical issues in continuing learning during the pandemic, the factors that have contributed to the success of teaching and learning during the pandemic times, both its transition to online learning and its return to in-class learning, the challenges public and government have faced related to learning during the pandemic times, and the new opportunities for social, economical, and environmental benefits that can be drawn out of the situation created by the pandemic. The parameters and information learned through the tool can allow governments to have a participatory approach to governance and improve their policies, procedures, and practices, perpetually through public and stakeholder feedback. The data-driven parameter discovery approach we propose is generic and can be applied to the governance of any sector. The specific case study is used to elaborate on the proposed approach.

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What do COVID-19 Tweets Reveal about Public Engagement with Nature of Science?

Cited by 12 publications

References 42 publications

A Systematic Review of Research on Family Resemblance Approach to Nature of Science in Science Education

A Systematic Review of Research on Family Resemblance Approach to Nature of Science in Science Education

Communicating science in the COVID-19 news in the UK during Omicron waves: exploring representations of nature of science with epistemic network analysis

Sustainable Participatory Governance: Data-Driven Discovery of Parameters for Planning Online and In-Class Education in Saudi Arabia During COVID-19

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