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Titulo Artículo:
Curriculum Mapping with Academic Analytics in Medical and Healthcare Education
Resumen:
Background: No universal solution, based on an approved pedagogical approach, exists to parametrically describe, effectively manage, and clearly visualize a higher education institution's curriculum, including tools for unveiling relationships inside curricular datasets. Objective: We aim to solve the issue of medical curriculum mapping to improve understanding of the complex structure and content of medical education programs. Our effort is based on the long-term development and implementation of an original web-based platform, which supports an outcomes-based approach to medical and healthcare education and is suitable for repeated updates and adoption to curriculum innovations. Methods: We adopted data exploration and visualization approaches in the context of medical curriculum innovations in higher education institutions domain. We have developed a robust platform, covering detailed formal metadata specifications down to the level of learning units, interconnections, and learning outcomes, in accordance with Bloom's taxonomy and direct links to a particular biomedical nomenclature. Furthermore, we used selected modeling techniques and data mining methods to generate academic analytics reports from medical curriculum mapping datasets. Results: We present a solution that allows users to effectively optimize a curriculum structure that is described with appropriate metadata, such as course attributes, learning units and outcomes, a standardized vocabulary nomenclature, and a tree structure of essential terms. We present a case study implementation that includes effective support for curriculum reengineering efforts of academics through a comprehensive overview of the General Medicine study program. Moreover, we introduce deep content analysis of a dataset that was captured with the use of the curriculum mapping platform; this may assist in detecting any potentially problematic areas, and hence it may help to construct a comprehensive overview for the subsequent global in-depth medical curriculum
Fecha de publicación:
2015.
Autores :
Daniel Schwarz;
Andrea Pokorná ;
Nabil Zary;
Ladislav Dušek;
Martin Víta;
Christos Vaitsis;
Martin Komenda ;
Autor corporativo:
PLoS One,
Editores:
Medline-PubMed ;
Signatura Topográfica:
2
Idioma:
Inglés
Páginas:
283
ISBN:
1932-6203
Existencias:
0
Palabras claves:
Curriculum Mapping
Medical education
Pedagogical approach
Público objetivo:
Decanatura
Docentes
Medicos
Educadores Medicos
Titulo Artículo:
Curriculum Mapping with Academic Analytics in Medical and Healthcare Education
Resumen:
Background: No universal solution, based on an approved pedagogical approach, exists to parametrically describe, effectively manage, and clearly visualize a higher education institution's curriculum, including tools for unveiling relationships inside curricular datasets. Objective: We aim to solve the issue of medical curriculum mapping to improve understanding of the complex structure and content of medical education programs. Our effort is based on the long-term development and implementation of an original web-based platform, which supports an outcomes-based approach to medical and healthcare education and is suitable for repeated updates and adoption to curriculum innovations. Methods: We adopted data exploration and visualization approaches in the context of medical curriculum innovations in higher education institutions domain. We have developed a robust platform, covering detailed formal metadata specifications down to the level of learning units, interconnections, and learning outcomes, in accordance with Bloom's taxonomy and direct links to a particular biomedical nomenclature. Furthermore, we used selected modeling techniques and data mining methods to generate academic analytics reports from medical curriculum mapping datasets. Results: We present a solution that allows users to effectively optimize a curriculum structure that is described with appropriate metadata, such as course attributes, learning units and outcomes, a standardized vocabulary nomenclature, and a tree structure of essential terms. We present a case study implementation that includes effective support for curriculum reengineering efforts of academics through a comprehensive overview of the General Medicine study program. Moreover, we introduce deep content analysis of a dataset that was captured with the use of the curriculum mapping platform; this may assist in detecting any potentially problematic areas, and hence it may help to construct a comprehensive overview for the subsequent global in-depth medical curriculum
Fecha de publicación:
2015.
Autores :
Daniel Schwarz;
Andrea Pokorná ;
Nabil Zary;
Ladislav Dušek;
Martin Víta;
Christos Vaitsis;
Martin Komenda ;
Autor corporativo:
PLoS One,
Editores:
Medline-PubMed ;
Signatura Topográfica:
2
Idioma:
Inglés
Páginas:
283
Existencias:
0
Palabras claves:
Curriculum Mapping
Medical education
Pedagogical approach
Público objetivo:
Decanatura
Docentes
Medicos
Educadores Medicos
Titulo Artículo:
Curriculum Mapping with Academic Analytics in Medical and Healthcare Education
Resumen:
Background: No universal solution, based on an approved pedagogical approach, exists to parametrically describe, effectively manage, and clearly visualize a higher education institution's curriculum, including tools for unveiling relationships inside curricular datasets. Objective: We aim to solve the issue of medical curriculum mapping to improve understanding of the complex structure and content of medical education programs. Our effort is based on the long-term development and implementation of an original web-based platform, which supports an outcomes-based approach to medical and healthcare education and is suitable for repeated updates and adoption to curriculum innovations. Methods: We adopted data exploration and visualization approaches in the context of medical curriculum innovations in higher education institutions domain. We have developed a robust platform, covering detailed formal metadata specifications down to the level of learning units, interconnections, and learning outcomes, in accordance with Bloom's taxonomy and direct links to a particular biomedical nomenclature. Furthermore, we used selected modeling techniques and data mining methods to generate academic analytics reports from medical curriculum mapping datasets. Results: We present a solution that allows users to effectively optimize a curriculum structure that is described with appropriate metadata, such as course attributes, learning units and outcomes, a standardized vocabulary nomenclature, and a tree structure of essential terms. We present a case study implementation that includes effective support for curriculum reengineering efforts of academics through a comprehensive overview of the General Medicine study program. Moreover, we introduce deep content analysis of a dataset that was captured with the use of the curriculum mapping platform; this may assist in detecting any potentially problematic areas, and hence it may help to construct a comprehensive overview for the subsequent global in-depth medical curriculum
Autores:
Daniel Schwarz
,
Andrea Pokorná
,
Nabil Zary
,
Ladislav Dušek
,
Martin Víta
,
Christos Vaitsis
,
Martin Komenda
,
.
Titulo Revista:
PLoS One,
.
Numero:
2
Volumen:
8
Fecha de publicación:
2015.
Base de Datos Bibliográfica:
Medline-PubMed ,
.
Suplemento:
Idioma:
Inglés
Página Inicial:
283
Página Final:
0
ISBN:
1932-6203
Palabras claves:
Curriculum Mapping
Medical education
Pedagogical approach
Público objetivo:
Decanatura
Docentes
Medicos
Educadores Medicos
Título Medline-PubMed :
Curriculum Mapping with Academic Analytics in Medical and Healthcare Education
Resumen:
Background: No universal solution, based on an approved pedagogical approach, exists to parametrically describe, effectively manage, and clearly visualize a higher education institution's curriculum, including tools for unveiling relationships inside curricular datasets. Objective: We aim to solve the issue of medical curriculum mapping to improve understanding of the complex structure and content of medical education programs. Our effort is based on the long-term development and implementation of an original web-based platform, which supports an outcomes-based approach to medical and healthcare education and is suitable for repeated updates and adoption to curriculum innovations. Methods: We adopted data exploration and visualization approaches in the context of medical curriculum innovations in higher education institutions domain. We have developed a robust platform, covering detailed formal metadata specifications down to the level of learning units, interconnections, and learning outcomes, in accordance with Bloom's taxonomy and direct links to a particular biomedical nomenclature. Furthermore, we used selected modeling techniques and data mining methods to generate academic analytics reports from medical curriculum mapping datasets. Results: We present a solution that allows users to effectively optimize a curriculum structure that is described with appropriate metadata, such as course attributes, learning units and outcomes, a standardized vocabulary nomenclature, and a tree structure of essential terms. We present a case study implementation that includes effective support for curriculum reengineering efforts of academics through a comprehensive overview of the General Medicine study program. Moreover, we introduce deep content analysis of a dataset that was captured with the use of the curriculum mapping platform; this may assist in detecting any potentially problematic areas, and hence it may help to construct a comprehensive overview for the subsequent global in-depth medical curriculum
Autores :
Daniel Schwarz;
Andrea Pokorná ;
Nabil Zary;
Ladislav Dušek;
Martin Víta;
Christos Vaitsis;
Martin Komenda ;
Autor corporativo:
PLoS One,
Fecha de publicación:
2015.
Tipo :
Medline-PubMed .
Idioma:
Inglés
Palabras claves:
Curriculum Mapping
Medical education
Pedagogical approach
Público objetivo:
Decanatura
Docentes
Medicos
Educadores Medicos
Título Medline-PubMed :
Curriculum Mapping with Academic Analytics in Medical and Healthcare Education
Resumen:
Background: No universal solution, based on an approved pedagogical approach, exists to parametrically describe, effectively manage, and clearly visualize a higher education institution's curriculum, including tools for unveiling relationships inside curricular datasets. Objective: We aim to solve the issue of medical curriculum mapping to improve understanding of the complex structure and content of medical education programs. Our effort is based on the long-term development and implementation of an original web-based platform, which supports an outcomes-based approach to medical and healthcare education and is suitable for repeated updates and adoption to curriculum innovations. Methods: We adopted data exploration and visualization approaches in the context of medical curriculum innovations in higher education institutions domain. We have developed a robust platform, covering detailed formal metadata specifications down to the level of learning units, interconnections, and learning outcomes, in accordance with Bloom's taxonomy and direct links to a particular biomedical nomenclature. Furthermore, we used selected modeling techniques and data mining methods to generate academic analytics reports from medical curriculum mapping datasets. Results: We present a solution that allows users to effectively optimize a curriculum structure that is described with appropriate metadata, such as course attributes, learning units and outcomes, a standardized vocabulary nomenclature, and a tree structure of essential terms. We present a case study implementation that includes effective support for curriculum reengineering efforts of academics through a comprehensive overview of the General Medicine study program. Moreover, we introduce deep content analysis of a dataset that was captured with the use of the curriculum mapping platform; this may assist in detecting any potentially problematic areas, and hence it may help to construct a comprehensive overview for the subsequent global in-depth medical curriculum
Autores :
Daniel Schwarz;
Andrea Pokorná ;
Nabil Zary;
Ladislav Dušek;
Martin Víta;
Christos Vaitsis;
Martin Komenda ;
Autor corporativo:
PLoS One,
Fecha de publicación:
2015.
Paginas:
283.
ISBN:
1932-6203 .
Idioma:
Inglés
Palabras claves:
Curriculum Mapping
Medical education
Pedagogical approach
Público objetivo:
Decanatura
Docentes
Medicos
Educadores Medicos
Titulo Artículo:
Curriculum Mapping with Academic Analytics in Medical and Healthcare Education
Resumen:
Background: No universal solution, based on an approved pedagogical approach, exists to parametrically describe, effectively manage, and clearly visualize a higher education institution's curriculum, including tools for unveiling relationships inside curricular datasets. Objective: We aim to solve the issue of medical curriculum mapping to improve understanding of the complex structure and content of medical education programs. Our effort is based on the long-term development and implementation of an original web-based platform, which supports an outcomes-based approach to medical and healthcare education and is suitable for repeated updates and adoption to curriculum innovations. Methods: We adopted data exploration and visualization approaches in the context of medical curriculum innovations in higher education institutions domain. We have developed a robust platform, covering detailed formal metadata specifications down to the level of learning units, interconnections, and learning outcomes, in accordance with Bloom's taxonomy and direct links to a particular biomedical nomenclature. Furthermore, we used selected modeling techniques and data mining methods to generate academic analytics reports from medical curriculum mapping datasets. Results: We present a solution that allows users to effectively optimize a curriculum structure that is described with appropriate metadata, such as course attributes, learning units and outcomes, a standardized vocabulary nomenclature, and a tree structure of essential terms. We present a case study implementation that includes effective support for curriculum reengineering efforts of academics through a comprehensive overview of the General Medicine study program. Moreover, we introduce deep content analysis of a dataset that was captured with the use of the curriculum mapping platform; this may assist in detecting any potentially problematic areas, and hence it may help to construct a comprehensive overview for the subsequent global in-depth medical curriculum
Fecha de publicación:
2015.
Autor corporativo:
PLoS One,
.
Idioma:
Inglés
Palabras claves:
Curriculum Mapping
Medical education
Pedagogical approach
Público objetivo:
Decanatura
Docentes
Medicos
Educadores Medicos
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Daniel Schwarz Andrea Pokorná Nabil Zary Ladislav Dušek Martin Víta Christos Vaitsis Martin Komenda Daniel Schwarz Andrea Pokorná Nabil Zary Ladislav Dušek Martin Víta Christos Vaitsis Martin Komenda Curriculum Mapping with Academic Analytics in Medical and Healthcare Education. 2015; 8Ed. 283.
