2017
Medical and Healthcare Curriculum Exploratory Analysis
KOMENDA, Martin, Matěj KAROLYI, Andrea POKORNÁ a Christos VAITSISZákladní údaje
Originální název
Medical and Healthcare Curriculum Exploratory Analysis
Autoři
KOMENDA, Martin (203 Česká republika, garant, domácí), Matěj KAROLYI (203 Česká republika), Andrea POKORNÁ (203 Česká republika) a Christos VAITSIS (300 Řecko)
Vydání
Amsterdam, Informatics for Health: Connected Citizen-Led Wellness and Population Health. 235, Studies in Health Technology and Informatics : Informatics for Health: Connected Citizen-Led Wellness and Population Health, od s. 231-235, 5 s. 2017
Nakladatel
IOS Press
Další údaje
Jazyk
angličtina
Typ výsledku
Kapitola resp. kapitoly v odborné knize
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
tištěná verze "print"
Kód RIV
RIV/00216224:14110/17:00096564
Organizační jednotka
Lékařská fakulta
ISBN
978-1-61499-752-8
UT WoS
000458298900047
Klíčová slova anglicky
Exploratory data analysis; data mining; medical and healthcare curriculum; outcome-based education
Štítky
Změněno: 27. 4. 2020 09:30, Mgr. Tereza Miškechová
Anotace
V originále
In the recent years, medical and healthcare higher education institutions compile their curricula in different ways in order to cover all necessary topics and sections that the students will need to go through to success in their future clinical practice. A medical and healthcare curriculum consists of many descriptive parameters, which define statements of what, when, and how students will learn in the course of their studies. For the purpose of understanding a complicated medical and healthcare curriculum structure, we have developed a web-oriented platform for curriculum management covering in detail formal metadata specifications in accordance with the approved pedagogical background, namely outcome-based approach. Our platform provides a rich database that can be used for innovative detailed educational data analysis. In this contribution we would like to present how we used a proven process model as a way of increasing accuracy in solving individual analytical tasks with the available data. Moreover, we introduce an innovative approach on how to explore a dataset in accordance with the selected methodology. The achieved results from the selected analytical issues are presented here in clear visual interpretations in an attempt to visually describe the entire medical and healthcare curriculum.