
EDUCATION IN DIGITAL ERA BETWEEN ANALYSIS OF PREDICTABILITY AND CONSOLIDATION OF RESILIANCE
Author(s) -
Romeo-Cătălin CREȚU,
AUTHOR_ID,
Irina-Daniela CIȘMAȘU,
Adrian ANICA-POPA,
Petrică ȘTEFAN,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2022
Publication title -
proceedings of the ... international management conference
Language(s) - English
Resource type - Conference proceedings
eISSN - 2783-9214
pISSN - 2286-1440
DOI - 10.24818/imc/2021/02.05
Subject(s) - consolidation (business) , higher education , computer science , internationalization , psychological resilience , human capital , work (physics) , knowledge management , business , psychology , economic growth , engineering , economics , accounting , international trade , psychotherapist , mechanical engineering
The educational institutions and the entire education system were heavily affected by the Covid-19 pandemic, which forced us to adapt favourably to unfavourable conditions. During the crisis, educational practices were quickly reconfigured, from face-to-face work to the online environment. This has shown that teaching, learning and technology are part of an ecosystem, that of digital education.The aim of this research is to analyse and highlight the benefits and limits of the world's Massive Open Online Courses (MOOCs) systems and their implementation in Romania, facilitating the internationalization of higher education establishments. The objectives of the article are to investigate the relations between the elements provided by the sample of 67 courses conducted through the Coursera platform, in June 2020, the „Human skills” field. As research methods, the authors used descriptive methods, correlation coefficients, regression analysis and performed statistical tests using the SPSS program. The results of the research responded to the authors' assumptions that there are significant correlations and a certain degree of association between variables. The authors' conclusion is that we need to build together a new education system, based on modern technologies, based on digitalisation, adaptable, correlated with the labour market, that strengthens resilience and is predictable.