The post CoViD-19 at school: exploring the Theory of Complexity in a Computational Modeling Environment for an interdisciplinary study of a real problem
- Funded by Decanato de Pesquisa e Inovação - Universidade de Brasilia (DPI)
- Total publications:0 publications
Grant number: 1034774
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Key facts
Disease
COVID-19Known Financial Commitments (USD)
$34,189.27Funder
Decanato de Pesquisa e Inovação - Universidade de Brasilia (DPI)Principal Investigator
Unspecified Germana Menezes da NóbregaResearch Location
BrazilLead Research Institution
N/AResearch Priority Alignment
N/A
Research Category
Secondary impacts of disease, response & control measures
Research Subcategory
Social impacts
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Adults (18 and older)
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
In the post-pandemic period, humanity will face a global crisis. How to overcome the concrete threat that will present itself in health, in social and working life, in the economy, in politics? Many questions, concerns, cognitive dissociations, have been produced in this period, which express the astonishment at a situation that has not been experienced before. Providing young students with the possibility of reflecting on alternatives and their medium and long-term repercussions and consequences for society, becomes an essential task in a unique moment of humanity. In this direction, this project aims to propose and experience a computational learning platform to foster the inter-disciplinary and collaborative study of the new Corona-Virus pandemic. The light of Complexity Theory as a basis for analyzing the problem, the conception of The platform should include pedagogical methodologies known as "active", with the principle of meaningful, systemic learning that makes sense for the student and teaching community that ends a period of social isolation.