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Autor/inn/enChaitanya, Pasala Krishna; Sorokina, Sofia; Basov, Oleg
TitelMultimodal Analysis of Online Webinars Conducted in Zoom
Quelle(2021), (10 Seiten)
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ZusatzinformationORCID (Chaitanya, Pasala Krishna)
ORCID (Sorokina, Sofia)
ORCID (Basov, Oleg)
Spracheenglisch
Dokumenttypgedruckt; online; Monographie
SchlagwörterCOVID-19; Pandemics; Electronic Learning; Educational Technology; Student Satisfaction; Educational Quality; Nonverbal Communication; Video Technology
AbstractStudent satisfaction is one of the important factors to be considered in the education system. Due to the COVID-19 pandemic and to make quality education available for a wide range of people, the current higher education system has undergone several changes. The classes and webinars being conducted through video conferencing systems such as zoom have gained unprecedented popularity. So, according to statistics, more than 97% of students switched to online education in the United States as it is a safe and feasible option to continue their education during the pandemic situation. At the same time, only 31% of students consider this format to be of the same quality as full-time, and only 5% of students find online learning to be of higher quality than offline. That is, 63% of students receiving online education are not satisfied with its current quality. According to the many types of research on student-teacher communication, non-verbal communication plays a crucial role in student satisfaction. Therefore, the study is conducted to find the direct correlation between time characteristics such as loudness, silence duration, change in intonations, tempo, and hand gestures of instructors during online classes and student satisfaction levels. As part of the study, recent online classes and webinars from MIT, Harvard, Stanford, IIT's, ITMO, and few prestigious universities are analyzed. The quality of the classes is rated by the students as high or low based on their satisfaction level. Based on the analysis, successful and unsuccessful models are compiled. Based on the obtained models and the time parameters illustrated, assessment and recommendation systems are offered to improve the quality of both individual characteristics and the general concept of classes. [For the full proceedings, see ED623569.] (As Provided).
AnmerkungenInternational Society for Technology, Education, and Science. 944 Maysey Drive, San Antonio, TX 78227. Tel: 515-294-1075; Fax: 515-294-1003; email: istesoffice@gmail.com; Web site: http://www.istes.org
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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