Detailed Information on Publication Record
2015
Curriculum Mapping with Academic Analytics in Medical and Healthcare Education
KOMENDA, Martin, Martin VÍTA, Christos VAITSIS, Daniel SCHWARZ, Andrea POKORNÁ et. al.Basic information
Original name
Curriculum Mapping with Academic Analytics in Medical and Healthcare Education
Authors
KOMENDA, Martin (203 Czech Republic, guarantor, belonging to the institution), Martin VÍTA (203 Czech Republic, belonging to the institution), Christos VAITSIS (752 Sweden), Daniel SCHWARZ (203 Czech Republic, belonging to the institution), Andrea POKORNÁ (203 Czech Republic, belonging to the institution), Nabil ZARY (752 Sweden) and Ladislav DUŠEK (203 Czech Republic, belonging to the institution)
Edition
Plos One, San Francisco, Public Library Science, 2015, 1932-6203
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10103 Statistics and probability
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 3.057
RIV identification code
RIV/00216224:14110/15:00085180
Organization unit
Faculty of Medicine
UT WoS
000365891600047
Keywords in English
COMPETENCE; CENTRALITY
Tags
International impact, Reviewed
Změněno: 4/1/2016 16:56, Ing. Mgr. Věra Pospíšilíková
Abstract
V originále
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 inspection. Conclusions We have proposed, developed, and implemented an original framework for medical and healthcare curriculum innovations and harmonization, including: planning model, mapping model, and selected academic analytics extracted with the use of data mining.
Links
| CZ.1.07/2.2.00/28.0042, interní kód MU |
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| MUNI/A/1512/2014, interní kód MU |
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