LESSONS LEARNED FROM EMERGENCY REMOTE LEARNING IN LIGHT OF THE ACADEMIC COMMUNITIES OF ENGAGEMENT (ACE) FRAMEWORK
DOI:
https://doi.org/10.1590/SciELOPreprints.9469Keywords:
Emergency remote learning, online learning, academic communities of engagement, higher education, COVID-19Abstract
During the COVID-19 pandemic, higher education institutions needed to adopt a different learning format from in-person classes. One of the alternatives was the so-called Emergency Remote Learning (ERL), transforming traditional in-person teaching into synchronous remote instruction. This study aims to gain insights into online learning best practices based on a Brazilian university survey in which students periodically responded to an open-ended question about their experience with ERL over a determined period. Data was collected at different times during the first year of the pandemic and encompassed more than 19,000 responses. Students' responses to the open-ended question were analyzed using the Academic Communities of Engagement (ACE) framework. Analyzing student perceptions of the ERL period allowed for reflection on relevant aspects of students' emotional, cognitive, and behavioral engagement, with potential applications in synchronous or asynchronous online teaching contexts. Students associated remote learning with online modalities, expressing exhaustion and difficulties managing studies, work, and family. Negative comments regarding technology, methodology, and instructors affected cognitive, emotional, and behavioral dimensions. The data underscores that online synchronous activities necessitate accessible technology, specific strategies, and methods that foster collaboration to build engagement. This article gives insights for implementing remote teaching experiences aimed at student learning and satisfaction.
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Copyright (c) 2024 Cinthia Bittencourt Spricigo, Kamila Colombo, Lays Cherobim Parolin, Elisangela Ferretti Manffra, Charles Robert Graham
This work is licensed under a Creative Commons Attribution 4.0 International License.
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The research data is available on demand, condition justified in the manuscript