iPad apps and visual methodologies: Empirical and ethical issues in achieving authentic data.
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| Title: | iPad apps and visual methodologies: Empirical and ethical issues in achieving authentic data. |
|---|---|
| Authors: | Kucirkova, Natalia1 n.kucirkova@ucl.ac.uk, Falloon, Garry2 |
| Source: | Research in Learning Technology. 2018, Vol. 26, p1-16. 16p. |
| Subject Terms: | Mobile apps, Data quality, Technological innovations |
| 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Research in Learning Technology is the property of Association for Learning Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 156380133 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: iPad apps and visual methodologies: Empirical and ethical issues in achieving authentic data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kucirkova%2C+Natalia%22">Kucirkova, Natalia</searchLink><relatesTo>1</relatesTo><i> n.kucirkova@ucl.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Falloon%2C+Garry%22">Falloon, Garry</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Research+in+Learning+Technology%22">Research in Learning Technology</searchLink>. 2018, Vol. 26, p1-16. 16p. – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Mobile+apps%22">Mobile apps</searchLink><br /><searchLink fieldCode="DE" term="%22Data+quality%22">Data quality</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+innovations%22">Technological innovations</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Research in Learning Technology is the property of Association for Learning Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=156380133 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.25304/rlt.v26.2029 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Subjects: – SubjectFull: Mobile apps Type: general – SubjectFull: Data quality Type: general – SubjectFull: Technological innovations Type: general Titles: – TitleFull: iPad apps and visual methodologies: Empirical and ethical issues in achieving authentic data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kucirkova, Natalia – PersonEntity: Name: NameFull: Falloon, Garry IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 21567069 Numbering: – Type: volume Value: 26 Titles: – TitleFull: Research in Learning Technology Type: main |
| ResultId | 1 |
