Towards an enactivist methodology for analysing a large video data set.

Bissell, A. (2023). Towards an enactivist methodology for analysing a large video data set.

Summary: This article begins to outline a methodology for working with a large video data set, in line with an enactivist theoretical stance.

Theoretical background: Enactivism was first conceived by Varela, Thompson and Rosch (1991) with the intention of bringing closer together the seemingly distinct approaches to understanding the mind of cognitive science and phenomenology.

A feature of enactivism that helps to explain interaction between creatures and their environments, and creatures and other creatures, is that of “structural coupling” (Reid & Mgombelo, 2015, p.174), where one creature might perform an action which is sensed by another creature, which in turn performs an action according to its structure. The creatures can be thought of as structurally coupled when “there are recurrent patterns of triggering and being triggered that result in structures that allow these patterns to persist.” (Reid & Mgombelo, 2015, p.174-5)

Methodology: Coles (2015, p.239) proposes five mechanisms that allow an approach for analysing talk and language in mathematics classrooms, in line with an enactive view.

Interesting:

1. Using R to analyses the 70 hours data, so that decisions are made in advance such that all 70 hours can be considered in a way that avoids premature evaluation, instead being systematic in offering different representations of the 70 hours of transcript.

2. The author established patterns, such as FFP, FPF to conclude the structure of online teaching.

3. I think if the volume of the voice could be considered, not only the content, the research could bring out more interesting findings.

P.S. The theoretical background is somewhat difficult but interesting for me at present.