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The opportunities and challenges of emergency, remote learning for large class students during the Covid-19 pandemic

Authors: Smyth, Seán; Buckley, Karen; Farrell, Ann Marie; Glynn, Mark; Lowney, Rob; Stone, Suzanne;

The opportunities and challenges of emergency, remote learning for large class students during the Covid-19 pandemic

Abstract

In April 2020, the Dublin City University (DCU) Educational Trust launched the Covid-19 Research and Innovation Hub, which was designed to address key challenges arising globally as a result of the Covid-19 pandemic. The research findings presented in this paper emerge from one of the Hub’s technology projects, entitled ‘Moving Large Classes Online’ (Farrell et al., 2021). This research project was evaluative in nature with the aim of illuminating the innovation (Parlett & Hamilton, 1972) of promptly moving large, face-to-face classes online in the immediate response to the Covid-19 pandemic at DCU, Ireland. While the overall research illustrates both the staff and student perspective of emergency, remote large class teaching and learning from March - May, 2020, this paper specifically focuses on the opportunities and challenges faced by large class students during this unprecedented move online. Findings from the data are shared and implications for addressing the opportunities and challenges are addressed.

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Ireland
Keywords

Teaching, Education, Large classes; COVID-19; remote teaching; online learning; isolation; accessibility

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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