C 2017

Medical and Healthcare Curriculum Exploratory Analysis

KOMENDA, Martin, Matěj KAROLYI, Andrea POKORNÁ a Christos VAITSIS

Základní 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.