General Presentation

Video recording data are crucial for researchers working on teaching and/or learning situations, and more generally for all researchers in the SHS field who want to study complex situated practices comprising communicative dimensions and artefact manipulations. The audio-video flux makes it possible to grasp these dimensions while preserving, at least partially, their temporal order and their spatial relationships. This flux shows what is happening between actors in their material and social environment (Luff, Hindmarsh, & Heath, 2000; Goldman and McDermott, 2007; Sensevy, 2011, Tiberghien and Sensevy, 2012). In connection with other types of data (copies of documents, observation notes, transcript of interviews, questionnaires, etc.), it allows to work at different scales of analysis, both temporal and spatial (Kracauer, 2010; Lemke, 2000). It also makes it possible to document real curricula (what teacher and students really do in teaching/learning situations) over several weeks, thanks to corpus including tens or hundreds of hours of recording. Film recordings are also a very interesting type of data for cross-referencing analyses made by  researchers from different disciplines.

But this very interesting potential of video recordings often remains underused, due to a lack of collective reflexion on theoretical, methodological, technical, legal and ethical issues or reseach works involving this type of data. The IR-Video thematic schools proposed by the ViSA consortium, aim at offering to young researchers (doctoral students, post-doctoral students) and more experienced ones, high-level interdisciplinary training on these different points. During this third edition, organised by the ICAR laboratory in Lyon from 15 to 19 October 2018, the following issues will be addressed:

1) How to combine video-recordings with other types of data (photographs, observation notes, audio recordings of exchanges or interviews, copies of documents, questionnaires, etc.) to study educational situations and practices?

2) What are the possible methods and tools for visualising data, in order to analyse a corpus or to present some results?   

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