Unlabelled: Under the COVID-19 pandemic, mathematics education has moved completely online. To tackle this new norm based on bio-eco-techno theories, this study aims to provide educators an overview of the research landscape for envisioning educational practices through bibliometric analysis of 319 articles and reviews published in peer-reviewed journals from 1993 to 2020. Country and institutional co-authorship depicts the social network structure of the field to identify top productive contributors. Bibliographic coupling of publications forms the conceptual structure, revealing research themes. Together, the results are mapped according to the bio-eco-techno perspective. The bioecological system highlights student achievement as the central concerns. The microsystem emphasizes techno-subsystems for supporting flipped learning. The exosystem and mesosystem require institution support for teacher pedagogical design, digital competencies, and collaboration. The macrosystem raises the issue of distribution or centralization in the strengths of online mathematics education and calls for greater cross-national boundary digital use and collaboration. The chronosystem asks: Does Covid-19 force the popularity of blended or flipped learning into online education? Based on the bio-eco-techno perspective, further recommendations are provided.
Supplementary Information: The online version contains supplementary material available at 10.1007/s11192-022-04441-3.
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http://dx.doi.org/10.1007/s11192-022-04441-3 | DOI Listing |
Chaos
January 2025
Department of Control Theory, Scientific and Educational Mathematical Center "Mathematics of Future Technologies", Nizhny Novgorod State University, Gagarin Av. 23, Nizhny Novgorod 603022, Russia.
We consider the effect of the emergence of chimera states in a system of coexisting stationary and flying-through in potential particles with an internal degree of freedom determined by the phase. All particles tend to an equilibrium state with a small number of potential wells, which leads to the emergence of a stationary chimera. An increase in the number of potential wells leads to the emergence of particles flying-through along the medium, the phases of which form a moving chimera.
View Article and Find Full Text PDFJ Med Virol
January 2025
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Mathematical models of viral dynamics are crucial in understanding infection trajectories. However, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load data often includes limited sparse observations with significant heterogeneity. This study aims to: (1) understand the impact of patient characteristics in shaping the temporal viral load trajectory and (2) establish a data collection protocol (DCP) to reliably reconstruct individual viral load trajectories.
View Article and Find Full Text PDFAnal Chem
January 2025
Department of Nature Sciences, Mathematics and Education, Federal University of São Carlos, 13600-970 Araras, São Paulo, Brazil.
A few decades ago, the technological boom revolutionized access to information, ushering in a new era of research possibilities. Electrochemical devices have recently emerged as a key scientific advancement utilizing electrochemistry principles to detect various chemical species. These versatile electrodes find applications in diverse fields, such as healthcare diagnostics and environmental monitoring.
View Article and Find Full Text PDFInfect Dis Model
June 2025
Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, People's Republic of China.
Introduction: Social contact patterns significantly influence the transmission dynamics of respiratory pathogens. Previous surveys have quantified human social contact patterns, yielding heterogeneous results across different locations. However, significant gaps remain in understanding social contact patterns in rural areas of China.
View Article and Find Full Text PDFInfect Dis Model
June 2025
Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar.
We aimed to understand to what extent knowledge of the prevalence of one sexually transmitted infection (STI) can predict the prevalence of another STI, with application for men who have sex with men (MSM). An individual-based simulation model was used to study the concurrent transmission of HIV, HSV-2, chlamydia, gonorrhea, and syphilis in MSM sexual networks. Using the model outputs, 15 multiple linear regression models were conducted for each STI prevalence, treating the prevalence of each as the dependent variable and the prevalences of up to four other STIs as independent variables in various combinations.
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