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Video research: purposeful selection from rich data sets
chapterposted on 01.01.2019, 00:00 authored by Joe FergusonJoe Ferguson, George ArandaGeorge Aranda, Russell TytlerRussell Tytler, Radhika GorurRadhika Gorur
In this chapter we discuss the methodological challenges and affordances of a rich and extensive video data set when using micro-ethnographic research methods, and propose ways of working with such data sets to generate meaningful and robust insights into teaching and learning processes. We argue that working with such a data set necessitates the operation of ‘purposeful partiality’ achieved through ‘active viewing’, selecting an ‘example’, and understanding ‘video as a field’.