This resource is a work in progress and is being developed following iterative design principles. It’s purpose is to support research interest in the use of publicly available data on the internet to investigate the impact the coronavirus (COVID-19) pandemic has had on teaching practices.
“..what educators have learned from teaching during the pandemic, how their practices have been disrupted, what kind of innovations have resulted from this and how these are evolving?”
This resource uses various R programming packages to conduct data collection and carry out some preliminary analysis.
The terms Textual analysis and Text mining generally refer to the use of computational methods to search, retrieve, and analyse text data.
Textual analysis is a broad term for various research methods used to describe, interpret and understand texts.
Text mining seeks to extract useful and important information from heterogeneous document formats through identifying patterns within texts, such as trends in words usage, syntactic structure, etc.
Broadly speaking the workflow for text mining includes the following steps:
The following digital methods are being tested: