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The following results are related to COVID-19. Are you interested to view more results? Visit OpenAIRE - Explore.
875,508 Research products, page 1 of 87,551

  • COVID-19
  • Publications
  • Research data
  • 2013-2022

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  • Publication . Part of book or chapter of book . 2022
    Open Access
    Authors: 
    Brendan Howe;
    Publisher: Amsterdam University Press
  • Open Access
    Authors: 
    Kazuma DOI; Yukoh OHARA; Takahiro OUCHI; Rie SASAKI; Futaba MAKI; Junichi MIZUNO;
    Publisher: Japan Neurosurgical Society
  • Authors: 
    Vasilopoulos Ioannis; Siakantaris Marina P; Zerzi Kalliope; Konstantinou Eliana A; Asimakopoulos John V; Karapaschalidis Anestis; Panitsas Fotios; Plata Eleni; Angelopoulou Maria K; Vassilakopoulos Theodoros P; +1 more
    Publisher: ClinMed International Library
  • Authors: 
    Axenciuc Rostislav; Sai Igor; Bondarenko Anatoliy; Kopcha Vasyl; Metersky Kateryna;
    Publisher: ClinMed International Library
  • Open Access German
    Authors: 
    Andrea Schröder; Alexandra Reher; Michael Malschützky;
    Publisher: Hochschule Bonn-Rhein-Sieg
    Country: Germany

    Aufgrund SARS-CoV-2 ist eine Rechtsvorlesung für Betriebswirte im Bachelorstudiengang an zwei verschiedenen Standorten der Hochschule Bonn-Rhein-Sieg mit über 300 Studierenden unter Anwendung des Inverted Classroom Ansatzes zum Sommersemester 2020 vollständig digitalisiert worden. Durch die von außen vorgegebene Lernstrategie mit wöchentlichen Arbeitspaketen und die Nutzung einer asynchronen Kommunikationsplattform auf Basis eines Instant Messengers mit adressatenadäquater Ansprache gelang es, Synchronformate auf ein notwendiges Minimum zu reduzieren. Die Ergebnisse der empirischen Begleitung zeigen, dass das neue didaktische Konzept für eine digitale Lehre die unterschiedlichsten Bedürfnisse der Studierenden befriedigte. Insbesondere konnte eine »digitale Lernatmosphäre« geschaffen werden, die von den Studierenden als sehr förderlich für ihren Lernprozess erachtet wurde. Die induzierte Lernstrategie führte zu signifikanten Leistungsverbesserungen. Es wird diskutiert, welche Maßnahmen sich auch für postpandemische Lehre empfehlen.

  • Authors: 
    Han Zhang; Margaret Morris; Paula Nurius; Kelly Mack; Jennifer Brown; Kevin Kuehn; Yasaman Sefidgar; Xuhai Xu; Eve Riskin; Anind Dey; +1 more
    Publisher: Association for Computing Machinery (ACM)

    The COVID-19 pandemic upended college education and the experiences of students due to the rapid and uneven shift to online learning. This study examined the experiences of students with disabilities with online learning, with a consideration of surrounding stressors such as financial pressures. In a mixed method approach, we compared 28 undergraduate students with disabilities (including mental health concerns) to their peers during 2020, to assess differences and similarities in their educational concerns, stress levels, and COVID-19-related adversities. We found that students with disabilities entered the Spring quarter of 2020 with significantly higher concerns about classes going online, and reported more recent negative life events than other students. These differences between the two groups diminished 3 months later with the exception of recent negative life events. For a fuller understanding of students’ experiences, we conducted qualitative analysis of open-ended interviews. We examined both positive and negative experiences with online learning among students with disabilities and mental health concerns. We describe how online learning enabled greater access—e.g., reducing the need for travel to campus—alongside ways in which online learning impeded academic engagement—e.g., reducing interpersonal interaction. We highlight a need for learning systems to meet the diverse and dynamic needs of students with disabilities.

  • Authors: 
    Alessio Bechini; Alessandro Bondielli; José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda;
    Publisher: Association for Computing Machinery (ACM)

    In the last years, there has been an ever-increasing interest in profiling various aspects of city life, especially in the context of smart cities. This interest has become even more relevant recently when we have realized how dramatic events, such as the Covid-19 pandemic, can deeply affect the city life, producing drastic changes. Identifying and analyzing such changes, both at the city level and within single neighborhoods, may be a fundamental tool to better manage the current situation and provide sound strategies for future planning. Furthermore, such fine-grained and up-to-date characterization can represent a valuable asset for other tools and services, e.g., web mapping applications or real estate agency platforms. In this article, we propose a framework featuring a novel methodology to model and track changes in areas of the city by extracting information from online newspaper articles. The problem of uncovering clusters of news at specific times is tackled by means of the joint use of state-of-the-art language models to represent the articles, and of a density-based streaming clustering algorithm, properly shaped to deal with high-dimensional text embeddings. Furthermore, we propose a method to automatically label the obtained clusters in a semantically meaningful way, and we introduce a set of metrics aimed at tracking the temporal evolution of clusters. A case study focusing on the city of Rome during the Covid-19 pandemic is illustrated and discussed to evaluate the effectiveness of the proposed approach.

  • Publication . Part of book or chapter of book . 2022
    Open Access
    Authors: 
    Mei-Chun Liu;
    Publisher: Amsterdam University Press
  • Publication . Part of book or chapter of book . 2022
    Open Access
    Authors: 
    Kei Koga;
    Publisher: Amsterdam University Press
  • Authors: 
    Dominik Kremer; Blake Byron Walker;
    Publisher: transcript Verlag