2016
Word2vec in practice: A similarity analysis of medical and healthcare disciplines
KOMENDA, Martin; Martin VÍTA; Matěj KAROLYI; Vincent KRÍŽ; Andrea POKORNÁ et al.Základní údaje
Originální název
Word2vec in practice: A similarity analysis of medical and healthcare disciplines
Autoři
Vydání
2016
Další údaje
Jazyk
angličtina
Typ výsledku
Konferenční abstrakt
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Německo
Utajení
není předmětem státního či obchodního tajemství
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14110/16:00090197
Organizační jednotka
Lékařská fakulta
Klíčová slova anglicky
Curriculum mapping; word2vec; medical and healthcare education; similarity analysis
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 18. 11. 2021 12:11, Mgr. Michal Petr
Anotace
V originále
Modern high-quality education is based on guaranteed, structured and well-balanced curricula covering the necessary scope of knowledge and skills required in subsequent practice, which respond to changing epidemiological profiles, health systems challenges and population health needs. The general idea is to obtain vector representations of words included in descriptions of disciplines, represent the textual content in a vector space (word2vec in particular) and visualise the results of similarity analysis as an interactive web-based report. We present the findings of the real application of the word2vec approach on curriculum data and reflect on its implications in the long-term process of curriculum innovation. The paper describes an appealing way of exploring that can be helpful to anyone who is involved in the complicated and time-consuming process of curriculum design at institutions of higher education. The final visual report serves as a comprehensive overview on selected parts of curriculum described in each discipline in order to provide transparent data for further evaluation.
Návaznosti
| 2015-1-CZ01-KA203-013935, interní kód MU |
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