Aestheticising Readers' Experiences of 'Reading' Research: Making Visible Emotional Trajectories in Learning

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Bibliographic Details
Title: Aestheticising Readers' Experiences of 'Reading' Research: Making Visible Emotional Trajectories in Learning
Language: English
Authors: Mellony Graven, Yasmine Abtahi, Mathematics Education Research Group of Australasia (MERGA)
Source: Mathematics Education Research Group of Australasia. 2025.
Availability: Mathematics Education Research Group of Australasia. GPO Box 2747, Adelaide SA 5001, Australia. Tel: +61-8-8363-0288; Fax: +61-8-8362-9288; e-mail: sales@merga.net.au; Web site: http://www.merga.net.au/
Peer Reviewed: N
Page Count: 8
Publication Date: 2025
Document Type: Speeches/Meeting Papers
Reports - Research
Descriptors: Preschool Children, Mothers, Computation, Nonverbal Communication, Psychological Patterns, Visual Aids, Learning Experience, Educational Research
Abstract: Nathalie Sinclair's MERGA 2024 keynote challenged us to communicate video data in ways that provide the reader with a more holistic and embodied experience of the data. In this methodological position paper, we take up this challenge. Through video analysis of a pre-school child and her mother engaging about counting in threes (prompted by the layout of numbers on a television remote) we address: How might we (in articles) share learners' shifting facial expressions and body language over time to reveal their emotional trajectories? When can images be considered self-evident indicators of emotions? How can we provide a more 'sensory' experience of data?
Abstractor: As Provided
Entry Date: 2025
Accession Number: ED676458
Database: ERIC
Description
Abstract:Nathalie Sinclair's MERGA 2024 keynote challenged us to communicate video data in ways that provide the reader with a more holistic and embodied experience of the data. In this methodological position paper, we take up this challenge. Through video analysis of a pre-school child and her mother engaging about counting in threes (prompted by the layout of numbers on a television remote) we address: How might we (in articles) share learners' shifting facial expressions and body language over time to reveal their emotional trajectories? When can images be considered self-evident indicators of emotions? How can we provide a more 'sensory' experience of data?