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Part 1: Document Description
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Citation |
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Title: |
[Panels 1-5] Database raw and analyzed participatory Delphi method results |
Identification Number: |
doi:10.7910/DVN/KBGYAC |
Distributor: |
Harvard Dataverse |
Date of Distribution: |
2023-05-09 |
Version: |
1 |
Bibliographic Citation: |
Munoz, Gustavo; Ortiz, Andrea; Salinas, Ivonne; Valdivieso, Emilia; Cisneros-Heredia, Diego; Guillemot, Jonathan, 2023, "[Panels 1-5] Database raw and analyzed participatory Delphi method results", https://doi.org/10.7910/DVN/KBGYAC, Harvard Dataverse, V1, UNF:6:Fm2bx+dr2ByUFByN1l9v3w== [fileUNF] |
Citation |
|
Title: |
[Panels 1-5] Database raw and analyzed participatory Delphi method results |
Identification Number: |
doi:10.7910/DVN/KBGYAC |
Authoring Entity: |
Munoz, Gustavo (Universidad San Francisco de Quito USFQ, Colegio de Ciencias de la Salud, Escuela de Medicina, Instituto de Medicina Social & Desafíos Globales, Quito 170901, Ecuador.) |
Ortiz, Andrea (Universidad San Francisco de Quito USFQ, Colegio de Ciencias de la Salud, Escuela de Medicina, Instituto de Medicina Social & Desafíos Globales, Quito 170901, Ecuador.) |
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Salinas, Ivonne (Universidad San Francisco de Quito USFQ, Colegio de Ciencias de la Salud, Escuela de Medicina, Instituto de Medicina Social & Desafíos Globales, Quito 170901, Ecuador.) |
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Valdivieso, Emilia (Universidad San Francisco de Quito USFQ, Colegio de Ciencias de la Salud, Escuela de Medicina, Instituto de Medicina Social & Desafíos Globales, Quito 170901, Ecuador.) |
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Cisneros-Heredia, Diego (Universidad San Francisco de Quito USFQ, Escuela de Medicina Veterinaria, Instituto IBIOTROP, Hospital de Fauna Silvestre TUERI, Laboratorio de Salud Animal, Quito, Ecuador.) |
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Guillemot, Jonathan (Universidad San Francisco de Quito USFQ, Colegio de Ciencias de la Salud, Escuela de Salud Pública, Instituto de Medicina Social & Desafíos Globales, Quito 170901, Ecuador.) |
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Distributor: |
Harvard Dataverse |
Access Authority: |
Panel, Delphi |
Depositor: |
Munoz, Gustavo |
Date of Deposit: |
2023-05-08 |
Holdings Information: |
https://doi.org/10.7910/DVN/KBGYAC |
Study Scope |
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Keywords: |
Medicine, Health and Life Sciences, E-learning challenges, Health-related programs, COVID-19, Global South, Learning systems in higher education, Participatory research |
Abstract: |
The dataset presented provides valuable insights into the challenges faced by students in health-related programs during e-learning COVID-19 pandemic at the Global South. The methodology covers various aspects of e-learning, including virtual simulators, adaptability of learners and teachers, mental health, and time management. The purpose of this dataset is intended to enhance the understanding of managing learning systems in higher education and to be used by academia and governmental agencies in their decision-making processes to improve education, motivate curricula reforms, develop academic strategies, and acquire student-based needs learning tools. Moreover, the data process serves as an accessible learning tool for students interested in research, motivating them to replicate the methodology applied to their needs. |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Bibliographic Citation: |
Ortiz, A, et al (in press). COVID-19: medical education from the point of view of medical students using participatory Delphi panels. |
Citation |
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Bibliographic Citation: |
Valdivieso, E, et al (unpublished). University education during COVID-19 pandemic from the point of view of health related programs’ students using participatory Delphi panels. |
File Description--f7094963 |
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File: [Panels 1-5] Database raw and analyzed participatory Delphi method results.tab |
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Notes: |
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List of Variables: |
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Variables |
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Variable Format: character Notes: UNF:6:uNAfgl84M3qTjWxS8brWoQ== |
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Summary Statistics: Valid 147.0; StDev 3.101443926800468; Min. 1.0; Mean 5.551020408163265; Max. 13.0 Variable Format: numeric Notes: UNF:6:hMDou8Cb8kAi1UJJBexPFw== |
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