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16th International Conference on E-Learning 2022, EL 2022 - Part of the Multi Conference on Computer Science and Information Systems 2022, MCCSIS 2022 ; : 85-92, 2022.
Article in English | Scopus | ID: covidwho-2126091

ABSTRACT

Covid-19 pandemic and post-pandemic had led to the confrontation of higher education system with enormous challenges. That necessitated the urgent transition from face-to-face –teaching to online -teaching. The change was an innovation in higher education. A comparative study of digital education based on the survey in 2020-2021 in seven different countries was conducted at Shanghai University. The study was based on grey comprehensive evaluation model. In general, developed countries had high comprehensive evaluation value, while Finland, United States of America, South-Korea and Latvia had relatively low grey correlation coefficient in several certain indicators, leading to a sharp drop in the overall score. Romania ranked last while China ranked second as a developing country as well. The study launched a conclusion that research and development personnel, infrastructure funds and university financial investment in digital education had relatively more obvious effects on improving the innovations and quality of higher education system including the leadership system of universities. © Proceedings of the International Conference on E-Learning 2022, EL 2022 - Part of the Multi Conference on Computer Science and Information Systems 2022, MCCSIS 2022. All rights reserved.

2.
15th International Conference e-Learning, EL 2021 - Held at the 15th Multi-Conference on Computer Science and Information Systems, MCCSIS 2021 ; : 34-45, 2021.
Article in English | Scopus | ID: covidwho-1489824

ABSTRACT

COVID-19 pandemic has led to the confrontation of higher education system with enormous challenges. This necessitated the urgent transition from face-to-face teaching to online teaching. A comparative study of digital education in seven different countries was conducted. This study established grey comprehensive evaluation model based on entropy weight method, which was successfully validated by reliability test. In general, developed countries tend to have high comprehensive evaluation value while Finland, South-Korea and Latvia have relatively low grey correlation coefficient in several certain indicators, leading to a sharp drop in the overall score. Romania ranked last while China ranked second as a developing country as well. This is followed by model optimization though input-output analysis method based on the upgrading of higher education system due to the pandemic’s influence. The study launched a conclusion that research and development personnel, infrastructure funds and university financial investment in digital education have relatively more obvious effects on improving the quality of higher education system. © 15th International Conference e-Learning, EL 2021 - Held at the 15th Multi-Conference on Computer Science and Information Systems, MCCSIS 2021. All rights reserved.

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