Application of data science to see the impact of the Covid-19 pandemic on learning outcomes in higher education.

Autor: Rahayu, Anita, Gunawan, Elizabeth Paskahlia, Puspitasari, Chasandra, Permai, Syarifah Diana, Vincent, V.
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Zdroj: AIP Conference Proceedings; 3/26/2024, Vol. 2927 Issue 1, p1-7, 7p
Abstrakt: The role of higher education in Indonesia is an essential key in determining the ability of the Indonesian nation to continue to make progress and create prosperity for all Indonesians. A country's progress in catching up with other countries also depends heavily on two other factors, namely the quality of institutions and the availability of infrastructure. The universities must create the next generation of the nation that can lay the foundation for Indonesia to become a developed country. However, since the Covid-19 pandemic, this situation has dramatically affected the learning process in universities. To prevent the spread of Covid-19 in Indonesia, the government has implemented a hybrid learning system for higher education levels. This hybrid system requires Internet access by students and faculty to help support the learning process from campus. However, the current hybrid system has not effectively and efficiently replaced formal education. Therefore, the research team took the initiative to conduct this study to observe the impact of the Covid-19 pandemic on learning outcomes through regression analysis with single and multiple predictors. The method used is regression analysis, where the parameter estimation uses the Maximum Likelihood Estimation. The regression model with single and multiple predictors resulted in the same conclusion. The relationship between the predictor variables and the responses was positive. With the results of this study, the expected implication is the utilization of the developed model to obtain policy-making scenarios by the university to achieve the targets. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index