Motivation in language learning: traditional and distance learning.

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dc.contributor.advisor Menegale, Marcella it_IT
dc.contributor.author Ahmadova, Aydan <1998> it_IT
dc.date.accessioned 2022-06-27 it_IT
dc.date.accessioned 2022-10-11T08:26:10Z
dc.date.available 2022-10-11T08:26:10Z
dc.date.issued 2022-07-19 it_IT
dc.identifier.uri http://hdl.handle.net/10579/21686
dc.description.abstract ABSTRACT In recent years, the growth of innovative computer technologies and the use of the Internet has led to a change in the traditional concept of fundamental education today. The global problem of the Covid-19 pandemic has affected people's lives, has accelerated the transition of work and education to the remote stage. Distance learning before the pandemic was familiar to everyone, but not accepted by many countries, as in Azerbaijan. During the pandemic, learning systems have focused on online lessons. This project is focused on motivating foreign language learning in order to maximize the language skills of students regardless of the degree of education. Special attention is paid to the following research questions: How is the process of teaching young adults a foreign language remotely during the pandemic in the winter of 2021? The role of lessons in motivating young adults to learn a language. How does online learning affect the retention or loss of this motivation in young adults? The study involved young adults from 18-25 years of age, according to their interests in languages, since multiculturalism plays an important role in modern Azerbaijan. This study aims to identify and compare the motivations and attitudes of distance and traditional language learners at universities in Azerbaijan. Correspondents of this poll were 500 participants from different cities of the country. Each of them has a different specialty and different degrees of education. About 230 participants studied English as a foreign language in traditional education before the pandemic, and the rest of the participants studied English remotely during the 2021 pandemic. Online questionnaires were created to collect data from participants using survey.com, and the survey was conducted in Azerbaijani and was translated by the author. It was convenient and easy to post as there were restrictions due to the pandemic. Bachelors, masters, and doctoral students of various specialties from different universities of Azerbaijan were interested in the study. According to the study, descriptive ANOVA statistics were used as a statistical analysis. All survey data was encoded and computerized using SPSS software and the alpha level for the tests was set to 0.05. After scoring, both the responses of each of the correspondents and their scores were compared with the variables selected in the study. The results will show a statistically significant relationship between motivation and respondents' attitudes. Conclusions will be drawn based on the results of the study, as well as suggestions and recommendations. Key words: motivation, attitude, pandemic, online, language learning, distance learning. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Aydan Ahmadova, 2022 it_IT
dc.title Motivation in language learning: traditional and distance learning. it_IT
dc.title.alternative Motivation in language learning: traditional and distance learning it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Scienze del linguaggio it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Studi Linguistici e Culturali Comparati it_IT
dc.description.academicyear 2021/2022_sessione estiva_110722 it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 882783 it_IT
dc.subject.miur M-PED/03 DIDATTICA E PEDAGOGIA SPECIALE it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.subject.language INGLESE it_IT
dc.date.embargoend it_IT
dc.provenance.upload Aydan Ahmadova (882783@stud.unive.it), 2022-06-27 it_IT
dc.provenance.plagiarycheck Marcella Menegale (menegale@unive.it), 2022-07-11 it_IT


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