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Households with school‐aged children worldwide were affected by school closures caused by COVID‐19. Using a sociomaterial orientation and collective biography methodology, this study examined the household curricula of diverse families in Ontario, Canada with children in pre‐school through Grade 12. It found two distinct curricular phases to the pandemic, each with its own networked constituents, movements, and effects. Phase I involved learning at home during the lockdown in Spring and Summer 2020;Phase II involved online and face‐to‐face learning in the Fall of 2020. The constituents involved in curriculum making in Phase I were expansive and unexpected. Multiple timescales, modes, languages, and knowledge disciplines assembled to (re)configure households as learning spaces that produced novel opportunities for children's knowing, doing, and being. The makeup and movements of the Phase II assemblages were more of a return to the normalized boundaries of implemented school curricula that demarcated subject areas, languages, learning/play, learning/assessment, and body/mind. Concerned with questions of equity in/through curriculum, this study suggests a curriculum paradigm that foregrounds learners' and teachers' engagement with sociomaterial lifeworlds and their ethical relationship building with the more‐than‐human and the world. [ FROM AUTHOR] Copyright of Curriculum Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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When home became the primary place for children's learning during the COVID-19 lockdown, a dominant rhetoric emerged about a literacy-skills crisis, especially involving learners from low-income and culturally and linguistically diverse families. By documenting the literacies practiced and the literacy-learning opportunities created in and among households during the lockdown in the spring and summer of 2020, this study turns this deficit-oriented rhetoric on its head. Conducted by parents with their children (aged 2-15), this collective biography found that during the lockdown households were forced into spaces that were physically constrained yet replete with a wide range of semiotic resources. Parents and children used these resources, which included multiple modes, media, and languages, to produce expansive literacies and literacy-learning opportunities. The present study offers suggestions about how to recognize and build on learners' linguistic, cultural, and semiotic repertoires in the creation of literacy curricula.
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Background Messages on one’s stance toward vaccination on microblogging sites may affect the reader’s decision on whether to receive a vaccine. Understanding the dissemination of provaccine and antivaccine messages relating to COVID-19 on social media is crucial;however, studies on this topic have remained limited. Objective This study applies the elaboration likelihood model (ELM) to explore the characteristics of vaccine stance messages that may appeal to Twitter users. First, we examined the associations between the characteristics of vaccine stance tweets and the likelihood and number of retweets. Second, we identified the relative importance of the central and peripheral routes in decision-making on sharing a message. Methods English-language tweets from the United States that contained provaccine and antivaccine hashtags (N=150,338) were analyzed between April 26 and August 26, 2021. Logistic and generalized negative binomial regressions were conducted to predict retweet outcomes. The content-related central-route predictors were measured using the numbers of hashtags and mentions, emotional valence, emotional intensity, and concreteness. The content-unrelated peripheral-route predictors were measured using the numbers of likes and followers and whether the source was a verified user. Results Content-related characteristics played a prominent role in shaping decisions regarding whether to retweet antivaccine messages. Particularly, positive valence (incidence rate ratio [IRR]=1.32, P=.03) and concreteness (odds ratio [OR]=1.17, P=.01) were associated with higher numbers and likelihood of retweets of antivaccine messages, respectively;emotional intensity (subjectivity) was associated with fewer retweets of antivaccine messages (OR=0.78, P=.03;IRR=0.80, P=.04). However, these factors had either no or only small effects on the sharing of provaccine tweets. Retweets of provaccine messages were primarily determined by content-unrelated characteristics, such as the numbers of likes (OR=2.55, IRR=2.24, P<.001) and followers (OR=1.31, IRR=1.28, P<.001). Conclusions The dissemination of antivaccine messages is associated with both content-related and content-unrelated characteristics. By contrast, the dissemination of provaccine messages is primarily driven by content-unrelated characteristics. These findings signify the importance of leveraging the peripheral route to promote the dissemination of provaccine messages. Because antivaccine tweets with positive emotions, objective content, and concrete words are more likely to be disseminated, policymakers should pay attention to antivaccine messages with such characteristics.
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OBJECTIVE: To select potential molecules that can target viral spike proteins, which may potentially interrupt the interaction between the human angiotension-converting enzyme 2 (ACE2) receptor and viral spike protein by virtual screening. METHODS: The three-dimensional (3D)-coordinate file of the receptor-binding domain (RBD)-ACE2 complex for searching a suitable docking pocket was firstly downloaded and prepared. Secondly, approximately 15,000 molecular candidates were prepared, including US Food and Drug Administration (FDA)-approved drugs from DrugBank and natural compounds from Traditional Chinese Medicine Systems Pharmacology (TCMSP), for the docking process. Then, virtual screening was performed and the binding energy in Autodock Vina was calculated. Finally, the top 20 molecules with high binding energy and their Chinese medicine (CM) herb sources were listed in this paper. RESULTS: It was found that digitoxin, a cardiac glycoside in DrugBank and bisindigotin in TCMSP had the highest docking scores. Interestingly, two of the CM herbs containing the natural compounds that had relatively high binding scores, Forsythiae fructus and Isatidis radix, are components of Lianhua Qingwen (), a CM formula reportedly exerting activity against severe acute respiratory syndrome (SARS)-Cov-2. Moreover, raltegravir, an HIV integrase inhibitor, was found to have a relatively high binding score. CONCLUSIONS: A class of compounds, which are from FDA-approved drugs and CM natural compounds, that had high binding energy with RBD of the viral spike protein. Our work provides potential candidates for other researchers to identify inhibitors to prevent SARS-CoV-2 infection, and highlights the importance of CM and integrative application of CM and Western medicine on treating COVID-19.