An introduction to multimodal methods for researching digital data

Date:

16/02/2012

Organised by:

Institute of Education

Presenter:

Professor Carey Jewitt (Director), Dr Jeff Bezemer, Professor Gunther Kress, Dr Sara Price, and Professor Andrew Burn

Level:

Entry (no or almost no prior knowledge)

Contact:

a.waring@ioe.ac.uk
020 7763 2199

Location:

View in Google Maps  (WC1N 3QS)

Venue:

London Knowledge Lab
23-29 Emerald Street
London

Description:

Digital data can provide a rich but also challenging empirical basis for social science research. Multimodality offers theoretical and methodological frameworks for analyzing these data. Focusing on the social interaction captured and/or shaped by digital technologies multimodality attends to all forms of representation and communication, including language, body posture, gaze, and moving image. This one day introductory course will provide participants with: explications of multimodal frameworks & procedures;an introduction to the use of key terms and concepts;direct experience of analyzing digital data;critical discussions of limits & possibilities of multimodal approaches;It will draw on digital multimodal research from a range of contexts including health and education. It will explore these topics through a mixture of presentations, interactive data workshops, discussion and a panel Q & A session.Outline of programme:10.00 : Introduction10. 15: Data workshop 1: Digital Video research (Professor Carey Jewitt)Data workshop 2: Embodiment /Tangible and haptic technologies(Dr Sara Price)3.00 Coffee and tea3. 30 Choice from two parallel data sessionsData workshop 3: Analyzing digital resources/online environments (Dr Jeff Bezemer)Data workshop 4: Movement and space in digital environments (Profesor Andrew Burn)5.00 Panel Q and A discussion5.30 Close

Cost:

PhD Students: £20
All other participants: £40

Website and registration:

Register for this course

Region:

Greater London

Keywords:

Visual Methods, multimodal , digital video , digital environments , embodiment , multimode , mode


Related publications and presentations from our eprints archive:

Visual Methods

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