Dynamics of Students’ Opinions in the Context of the Transition to Online Learning Based on Social Network Data
The article presents the results of the analysis of users’ sentiment in social networks, performed using big data tools. The research was aimed at developing the methodology, which enables to analyze the content of social networks, assess students’ attitude to the transition to online learning in co...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Moscow Polytechnic University
2022-06-01
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| Series: | Высшее образование в России |
| Subjects: | |
| Online Access: | https://vovr.elpub.ru/jour/article/view/3815 |
| _version_ | 1826578054451822592 |
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| author | A. V. Bogdanova Yu. K. Aleksandrova V. V. Orlova E. Yu. Petrov V. F. Glazova |
| author_facet | A. V. Bogdanova Yu. K. Aleksandrova V. V. Orlova E. Yu. Petrov V. F. Glazova |
| author_sort | A. V. Bogdanova |
| collection | DOAJ |
| description | The article presents the results of the analysis of users’ sentiment in social networks, performed using big data tools. The research was aimed at developing the methodology, which enables to analyze the content of social networks, assess students’ attitude to the transition to online learning in conditions of COVID-19 pandemic, identify dynamics and main trends in student satisfaction with the quality of educational process. We explored about 2 million posts and comments posted in university social networks (more than 1000 university public pages) for the period from Sept 2020 to July 2021. Special attention was paid to the problems of communication between students and teachers, strategies to solve them, an emotional reaction. PolyAnalyst software was applied for data precleaning. It has been found that the main problem affecting the quality of education is a change in the mechanisms of interaction between students and teachers. Based on student publications in social networks, we have identified the strategies for adapting students to online learning. We came to a conclusion that teachers’ support of students is crucial in preventing and solving social and academic problems in conditions of online learning. One of the ways to improve interaction between students and teachers, raise students’ involvement is using discussion forums, chats in messengers for academic purposes, and providing teachers’ methodical support. |
| first_indexed | 2024-03-08T05:37:29Z |
| format | Article |
| id | doaj.art-09aa6867d7b64ae983c3277e37487662 |
| institution | Directory Open Access Journal |
| issn | 0869-3617 2072-0459 |
| language | English |
| last_indexed | 2025-03-14T13:56:17Z |
| publishDate | 2022-06-01 |
| publisher | Moscow Polytechnic University |
| record_format | Article |
| series | Высшее образование в России |
| spelling | doaj.art-09aa6867d7b64ae983c3277e374876622025-02-27T06:26:29ZengMoscow Polytechnic UniversityВысшее образование в России0869-36172072-04592022-06-01316779110.31992/0869-3617-2022-31-6-77-912237Dynamics of Students’ Opinions in the Context of the Transition to Online Learning Based on Social Network DataA. V. Bogdanova0Yu. K. Aleksandrova1V. V. Orlova2E. Yu. Petrov3V. F. Glazova4Togliatti State UniversityTomsk State UniversityTomsk State University of Control Systems and RadioelectronicsTomsk State UniversityTogliatti State UniversityThe article presents the results of the analysis of users’ sentiment in social networks, performed using big data tools. The research was aimed at developing the methodology, which enables to analyze the content of social networks, assess students’ attitude to the transition to online learning in conditions of COVID-19 pandemic, identify dynamics and main trends in student satisfaction with the quality of educational process. We explored about 2 million posts and comments posted in university social networks (more than 1000 university public pages) for the period from Sept 2020 to July 2021. Special attention was paid to the problems of communication between students and teachers, strategies to solve them, an emotional reaction. PolyAnalyst software was applied for data precleaning. It has been found that the main problem affecting the quality of education is a change in the mechanisms of interaction between students and teachers. Based on student publications in social networks, we have identified the strategies for adapting students to online learning. We came to a conclusion that teachers’ support of students is crucial in preventing and solving social and academic problems in conditions of online learning. One of the ways to improve interaction between students and teachers, raise students’ involvement is using discussion forums, chats in messengers for academic purposes, and providing teachers’ methodical support.https://vovr.elpub.ru/jour/article/view/3815distance learningonline learningstudents’ attitudesocial media communitiesquality of learning outcomesadaptation strategiesmethodical support |
| spellingShingle | A. V. Bogdanova Yu. K. Aleksandrova V. V. Orlova E. Yu. Petrov V. F. Glazova Dynamics of Students’ Opinions in the Context of the Transition to Online Learning Based on Social Network Data Высшее образование в России distance learning online learning students’ attitude social media communities quality of learning outcomes adaptation strategies methodical support |
| title | Dynamics of Students’ Opinions in the Context of the Transition to Online Learning Based on Social Network Data |
| title_full | Dynamics of Students’ Opinions in the Context of the Transition to Online Learning Based on Social Network Data |
| title_fullStr | Dynamics of Students’ Opinions in the Context of the Transition to Online Learning Based on Social Network Data |
| title_full_unstemmed | Dynamics of Students’ Opinions in the Context of the Transition to Online Learning Based on Social Network Data |
| title_short | Dynamics of Students’ Opinions in the Context of the Transition to Online Learning Based on Social Network Data |
| title_sort | dynamics of students opinions in the context of the transition to online learning based on social network data |
| topic | distance learning online learning students’ attitude social media communities quality of learning outcomes adaptation strategies methodical support |
| url | https://vovr.elpub.ru/jour/article/view/3815 |
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