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Facebook's Social Learning Group for Undergraduate Engineering Courses: A Case Study of Fmergency Remote Teaching Amid Large Digital Divide
Proceedings of 2020 Ieee International Conference on Teaching, Assessment, and Learning for Engineering ; : 235-242, 2020.
Article in English | Web of Science | ID: covidwho-1313965
ABSTRACT
The COVID-19 Pandemic has forced many educational institutions worldwide to adopt emergency measures to complete the semester or school-year, which was rolling before the crisis hit. Different formal and informal Course Management Systems (CMSs) were incorporated to aid in this sudden transition to virtual classroom mode. A significant challenge that emerged in the Global South during this emergency transition was the glaring presence of Digital Divide. In this paper, we explore this situation for Bangladesh through a case study of three courses where emergency remote teaching was adopted from March to June 2020. The students enrolled were surveyed using questionnaire and the collected data was analyzed to determine the potency of Facebook Social Learning groups in Emergency Remote Teaching. Even as the emergency remote teaching phase ends in many communities, the pandemic and its effects continue and institutions worldwide are preparing themselves for long-term fully online classroom settings. It is thus essential to wisely choose a platform and pedagogical system for online teaching, which can minimize the discriminating effects of the digital divide among students. With that motivation, we present our work exploring the efficacy of Facehook's Social Learning Group as an inexpensive alternative to high-bandwidth consuming and costly CMSs.

Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Case report Language: English Journal: Proceedings of 2020 Ieee International Conference on Teaching, Assessment, and Learning for Engineering Year: 2020 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Case report Language: English Journal: Proceedings of 2020 Ieee International Conference on Teaching, Assessment, and Learning for Engineering Year: 2020 Document Type: Article