Kucirkova, N;
Falloon, G;
(2018)
iPad Apps and Visual Methodologies: Empirical and ethical issues in achieving authentic data.
Research in Learning Technology
, 26
(2029)
10.25304/rlt.v26.2029.
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Abstract
This article suggests new ways of working with visual data collected with or via iPads. Using the example of two iPad apps that we co-created, we argue that multimedia and display recorder apps can generate highly authentic data, capable of providing unique insights into the activities and experiences of young children that more conventional data methods cannot achieve. We discuss and illustrate how the use of the apps addresses some empirical and ethical challenges concerning the positioning of the child and researcher in observational research, notably in relation to observer effects and researcher subjectivity. We outline some principles and strategies for researchers interested in using iPad apps and address some challenges and use considerations of these innovative methods.
Type: | Article |
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Title: | iPad Apps and Visual Methodologies: Empirical and ethical issues in achieving authentic data |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.25304/rlt.v26.2029 |
Publisher version: | http://doi.org/10.25304/rlt.v26.2029 |
Language: | English |
Additional information: | Copyright @ 2018 N. Kucirkova and G. Falloon. Research in Learning Technology is the journal of the Association for Learning Technology (ALT), a UK-based professional and scholarly society and membership organisation. ALT is registered charity number 1063519. http://www.alt.ac.uk/. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license. |
Keywords: | iPads; visual methods; data quality; observer effects; researcher subjectivity |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media |
URI: | https://discovery.ucl.ac.uk/id/eprint/10050650 |
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