Analysis of the Consequences of the Transition to Online Learning on the Example of Mooc Philosophy During the Covid-19 Pandemic
Bibliographic Data
| ID | 22129208 |
|---|---|
| Authors | Daria Bylieva (0000-0002-7956-4647), Zafer Bekiroğulları (0000-0003-1549-7171), Zafer Bekirogullari, Victoria Lobatyuk (0000-0002-1793-9191), Tatiana Nam (0000-0002-4790-5419) |
| Year | 2020 |
| Volume | 8 |
| Issue | 4 |
| Pages | 1083-1093 |
| Publication date | 2020-09-11 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Humanities & Social Sciences Reviews (JOURNAL) |
| Journal identifiers | ISSN: 2395-6518 • E-ISSN: 2395-6518 |
| Publisher | GIAP Journals (PUBLISHER) |
| DOI | 10.18510/hssr.2020.84103 |
| OpenAlex | W3086822803 |
| Language | EN |
| Citations received | 3 |
| References cited | 58 |
Purpose of the study: The situation of a mass transition of Universities to online education in the period of the COVID-19 pandemic allowed us to see the challenges of distance e-learning in practice. In this unique situation, the same students studying the same course changed only the form of education, which allows us to see the consequences of such a transition. The purpose of the study is the analysis of changes in students' educational activities in the transition to online learning. Methodology: The article provides a quantitative statistical analysis of changes in the behaviour of first-year students of Peter the Great St. Petersburg Polytechnic University (N=3122) in the framework of studying the mass open online course “Philosophy” on the platform open.edu when switching to fully e-learning in March 2020. The authors have applied data mining MOOCs from students’ learning portfolios. Main Findings: Existing technological solutions and educational technologies made it possible to quickly adapt the education system to the distance format. However, the transition to fully e-learning has led to a sharp increase (by 16-17%) in the number of students who do not participate in intermediate tests and not doing homework in the e-course and later did not return to normal learning. Applications of this study: Since modern higher education is increasingly using e-learning, it is necessary to anticipate the consequences of the implementation of e-learning. The study helps to see general trends in this area. Novelty/Originality of this study: The study provides an analysis of students’ learning when switching to online education based on data taken directly from students’ learning portfolios, which allows us to see a completely objective picture of changes in students' behaviour
Distance education · E learning · Educational technology · Higher education · Mathematics education · Novelty · Online learning · Originality · Pandemic · Political science · Qualitative research · Social science · Sociology · World Wide Web · Chemistry · Computer Science · Educational Innovations and Challenges · Foreign Language Teaching Methods · Innovations in Education and Learning Technologies · Medicine · Psychology · Social Psychology
Covid-19
Considering inequalities in the school closure response to Covid-19
Mental health care for international Chinese students affected by the Covid-19 outbreak
Feeding Low-Income Children during the Covid-19 Pandemic
Suspending Classes Without Stopping Learning
Motivation in online learning
Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses
Special Educational Needs, Distance Learning, Inclusion and Covid-19
Exploring teachers’ attitudes toward implementing new ICT educational policies
Education and the Covid-19 pandemic
Impact of Coronavirus Pandemic on Education
Impact of Corona Virus Outbreak Towards Teaching and Learning Activities in Indonesia
To use or not to use? Social media in higher education in developing countries
Design principles for heutagogical learning
The pedagogical foundations of massive open online courses
Posthumanism and the Mooc
Performance Gaps between Online and Face-to-Face Courses
Data mining in course management systems
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2020 - 2025 (6) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |