Reza Morad Sahraee; Shohrehalsadat Sajjadi; Shiva Majidi; Amirhossein Mojiri
Abstract
Corona is a phenomenon that the living human being has not experienced before, and it happens so suddenly that it causes the closure of Persian language classes in the world. There are 14 Lebanese students studying at the Center of Teaching Persian to Speakers of Other Languages at Allameh Tabataba'i ...
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Corona is a phenomenon that the living human being has not experienced before, and it happens so suddenly that it causes the closure of Persian language classes in the world. There are 14 Lebanese students studying at the Center of Teaching Persian to Speakers of Other Languages at Allameh Tabataba'i University, who were getting ready to attend academic study in Iranian universities for the year 1399. They have spent half of their Persian-learning course in face-to-face classes where they have encountered Coronavirus problems. In order to solve their problem, Azfa center has shifted their class to virtual online classes. This article reports the result of the virtual Persian classes that took place in this center. The question of this research is: Whether virtual online classes can be replaced with face-to-face education in emergency conditions? The results showed that the rate of language learners' progress in Coronavirus epidemic conditions (virtual education) was not significantly different from face-to-face teaching. Lebanese learners were also largely satisfied with learning Persian virtually. It can be concluded that in emergency situations, the web platform can be used for language teaching. In order to answer the question of the research, we have used students' progress tests and compared the grades of face-to-face classes with virtual online classes and also used a researcher-made questionnaire to measure students' satisfaction.
Masood Ghayoomi
Abstract
Coronavirus pandemic caused changes in the daily lifestyle, such as reducing social interactions and creating social distancing. In this research, we pursue two goals. One is algorithmic content analysis of comments/posts in Persian related to the Coronavirus on two social media, namely Tweeter and Instagram. ...
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Coronavirus pandemic caused changes in the daily lifestyle, such as reducing social interactions and creating social distancing. In this research, we pursue two goals. One is algorithmic content analysis of comments/posts in Persian related to the Coronavirus on two social media, namely Tweeter and Instagram. To this end, topic modeling is used as a method for content analysis to cluster the data into abstract topics. The other goal is finding the correlation between topics and hashtags in the comments/posts. To this end, we developed a corpus from these two social media. We found 24 abstract topics by algorithmic content analysis of this corpus and they were manually labeled to be comprehensive. According to the corpus and the statistical information of the extracted topics, it can be speculated that about 25% of the comments/posts in this corpus focused on political and social issues of the virus. 10 fine-grained topics which contained 35% of the comments were related to the Coronavirus itself and its pandemic property. This indicates the importance of the attention that has been paid to social media for informing and disseminating information. Furthermore, the hypothesis of existing correlation between topics and hashtags was studied from statistical point of view by using the Pearson correlation coefficient. For 20 topics, a high correlation score between topics and hashtags was found; but this correlation was not found for 4 topics. The outcome of this research can be used to increase the internal coherence of a text and to make the hashtags predictable.
Hussein Mollanazar; Arghavan Omranipour
Abstract
The novel coronavirus (Covid-19) outbreak has led to the eye-catching emergence of new words and metaphors in the world. The important properties of languages are productivity and creativity as language users need new words to describe new concepts and situations. Sometimes, due to cultural and ...
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The novel coronavirus (Covid-19) outbreak has led to the eye-catching emergence of new words and metaphors in the world. The important properties of languages are productivity and creativity as language users need new words to describe new concepts and situations. Sometimes, due to cultural and social changes, languages should be compatible with new circumstances in order to guide behaviors and construct cultures. The Persian language can also be changed through the emergence of new words and equivalents in such linguistic and extra-linguistic evolution. The emergence of new words and metaphors may shape various behaviors, thus influencing cultural, social, and political aspects. Language, the powerful cultural and social means, should be taken into consideration as its appropriate use may contribute to further the aims of communities. The present research explored various aspects of the selected words related to the COVID-19 outbreak. The results revealed that such words are mostly compound-derivative ones and the result of borrowing, loan blending, and calque.
