Analysis of student’s expectation on science virtual class models during the covid-19 pandemic era in science education study program
Erna Noor Savitri, - (2020) Analysis of student’s expectation on science virtual class models during the covid-19 pandemic era in science education study program. Journal of Physics: Conference Series, 1968.
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Abstract
The period of the COVID-19 pandemic has forced all activities in educational institutions to maintain distance and all material delivery through unusual media and methods. To get around this unfavourable situation, online methods are one of the most effective options to overcome it. This research aims to analyse the most expected virtual class model on science learning based on student’s perspective. This research is a case study conducted through a survey method using an online questionnaire using google form. The subjects of this research were all students of basic science courses in the Science Education Study Program Faculty of Mathematics and Natural Sciences Universitas Negeri Semarang on odd semester of 2020. The results of this research indicate that the types of virtual classes implemented in basic science courses consist of LMS, LCMS, SLNs, combination of LMS-SLNs and LCMS-SLNs. The virtual classroom model implemented in science learning is in accordance with the objectives that include connectivity, flexibility, interaction, collaboration, development opportunities and motivation. The most expected virtual classroom model in science learning during the Covid-19 pandemic based on student perspectives is a combination of LMS-SLNs of 66.23%, LMS of 23.38%, LCMS-SLNs of 6.49%, and LCMS of 3.90%. The conclusion of this research indicates that the combination Virtual Class model of LMS (Learning Management System) and SLNs (Social Learning Networks) is the most expected according to student perspectives.
Item Type: | Article |
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Subjects: | Q Science > Q Science (General) |
Fakultas: | Fakultas Matematika dan Ilmu Pengetahuan Alam > Pendidikan Ilmu Pengetahuan Alam, S1 |
Depositing User: | dina nurcahyani perpus |
Date Deposited: | 13 Sep 2022 08:14 |
Last Modified: | 13 Sep 2022 08:14 |
URI: | http://lib.unnes.ac.id/id/eprint/51982 |
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