Big and open linked data analytics: a study on changing roles and skills in the higher educational process

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F20%3A39916068" target="_blank" >RIV/00216275:25410/20:39916068 - isvavai.cz</a>

Výsledek na webu

<a href="https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-020-00208-z" target="_blank" >https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-020-00208-z</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/s41239-020-00208-z" target="_blank" >10.1186/s41239-020-00208-z</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Big and open linked data analytics: a study on changing roles and skills in the higher educational process

Popis výsledku v původním jazyce

The concept of openness and information sharing (linking) together with increasing amounts of data available significantly affect the current educational system. Institutions as well as other stakeholders are facing challenges how to successfully deal with them and potentially profit from them. In this regard, this paper explores opportunities of big and open linked data analytics in the educational process intended to develop the new set of skills. A comprehensive literature review resulted in a framework of relevant skills, namely soft, hard, and data analytics skills. Their importance was evaluated using a Delphi method. In order to determine the relationships between involved stakeholders, their roles and requirements, a stakeholder theory is utilized. It resulted in the identification of current and emerging roles of stakeholders in the data analytics ecosystem. A structural classification of stakeholders&apos; influences and impacts then represents a necessary background for establishing strategies for the development of the right skills needed to gain the value from these data. This paper provides a comprehensive view on big and open linked data analytics in the educational context, defines and interlinks data-related with current roles as well as the skills required to perform data analytics.

Název v anglickém jazyce

Big and open linked data analytics: a study on changing roles and skills in the higher educational process

Popis výsledku anglicky

The concept of openness and information sharing (linking) together with increasing amounts of data available significantly affect the current educational system. Institutions as well as other stakeholders are facing challenges how to successfully deal with them and potentially profit from them. In this regard, this paper explores opportunities of big and open linked data analytics in the educational process intended to develop the new set of skills. A comprehensive literature review resulted in a framework of relevant skills, namely soft, hard, and data analytics skills. Their importance was evaluated using a Delphi method. In order to determine the relationships between involved stakeholders, their roles and requirements, a stakeholder theory is utilized. It resulted in the identification of current and emerging roles of stakeholders in the data analytics ecosystem. A structural classification of stakeholders&apos; influences and impacts then represents a necessary background for establishing strategies for the development of the right skills needed to gain the value from these data. This paper provides a comprehensive view on big and open linked data analytics in the educational context, defines and interlinks data-related with current roles as well as the skills required to perform data analytics.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50302 - Education, special (to gifted persons, those with learning disabilities)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Educational Technology in Higher Education

ISSN

2365-9440

e-ISSN

—

Svazek periodika

17

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

30

Strana od-do

28

Kód UT WoS článku

000562112800001

EID výsledku v databázi Scopus

2-s2.0-85089556920