C 2017

Medical and Healthcare Curriculum Exploratory Analysis

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

Basic information

Original name

Medical and Healthcare Curriculum Exploratory Analysis

Authors

KOMENDA, Martin (203 Czech Republic, guarantor, belonging to the institution), Matěj KAROLYI (203 Czech Republic), Andrea POKORNÁ (203 Czech Republic) and Christos VAITSIS (300 Greece)

Edition

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, p. 231-235, 5 pp. 2017

Publisher

IOS Press

Other information

Language

English

Type of outcome

Kapitola resp. kapitoly v odborné knize

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

RIV identification code

RIV/00216224:14110/17:00096564

Organization unit

Faculty of Medicine

ISBN

978-1-61499-752-8

DOI

UT WoS

000458298900047

Keywords in English

Exploratory data analysis; data mining; medical and healthcare curriculum; outcome-based education

Tags

Změněno: 27/4/2020 09:30, Mgr. Tereza Miškechová

Abstract

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.