Becoming Information Centric: The Emergence of New Cognitive Infrastructures in Education Policy
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| Title: | Becoming Information Centric: The Emergence of New Cognitive Infrastructures in Education Policy |
|---|---|
| Language: | English |
| Authors: | Sellar, Sam (ORCID |
| Source: | Journal of Education Policy. 2021 36(3):309-326. |
| Availability: | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Peer Reviewed: | Y |
| Page Count: | 18 |
| Publication Date: | 2021 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Automation, Artificial Intelligence, Educational Policy, Decision Making, Policy Analysis, Foreign Countries, Policy Formation, Computation, Mathematics |
| Geographic Terms: | Australia |
| DOI: | 10.1080/02680939.2019.1678766 |
| ISSN: | 0268-0939 |
| Abstract: | New cognitive infrastructures are emerging as digital platforms and artificial intelligence enable new forms of automated thinking that shape human decision-making. This paper (a) offers a new theoretical perspective on automated thinking in education policy and (b) illustrates how automated thinking is emerging in one specific policy context. We report on a case study of a policy analysis unit ('The Centre') in an Australian state education department that has been implementing a BI strategy since 2013. The Centre is now focused on using BI to support complex decision making and improve learning outcomes, and their strategy describes this focus as becoming 'information centric'. The theoretical framework for our analysis draws on infrastructure studies and philosophy of technology, particularly Luciana Parisi's recent work on automated thinking. We analyse technical documentation and semi-structured interview data to describe the enactment of a BI strategy in The Centre, with a focus on how new approaches to data analytics are shaping decision-making. Our analysis shows that The Centre is developing a cognitive infrastructure that is already creating new conditions for education policy making, and we conclude with a call for research designs that enable pragmatic exploration of what these infrastructures can do. |
| Abstractor: | As Provided |
| Entry Date: | 2021 |
| Accession Number: | EJ1293478 |
| Database: | ERIC |
| FullText | Text: Availability: 0 |
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| Header | DbId: eric DbLabel: ERIC An: EJ1293478 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Becoming Information Centric: The Emergence of New Cognitive Infrastructures in Education Policy – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sellar%2C+Sam%22">Sellar, Sam</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-2840-5021">0000-0002-2840-5021</externalLink>)<br /><searchLink fieldCode="AR" term="%22Gulson%2C+Kalervo+N%2E%22">Gulson, Kalervo N.</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-3581-9935">0000-0002-3581-9935</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Journal+of+Education+Policy%22"><i>Journal of Education Policy</i></searchLink>. 2021 36(3):309-326. – Name: Avail Label: Availability Group: Avail Data: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 18 – Name: DatePubCY Label: Publication Date Group: Date Data: 2021 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Policy%22">Educational Policy</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+Making%22">Decision Making</searchLink><br /><searchLink fieldCode="DE" term="%22Policy+Analysis%22">Policy Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Policy+Formation%22">Policy Formation</searchLink><br /><searchLink fieldCode="DE" term="%22Computation%22">Computation</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics%22">Mathematics</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Australia%22">Australia</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.1080/02680939.2019.1678766 – Name: ISSN Label: ISSN Group: ISSN Data: 0268-0939 – Name: Abstract Label: Abstract Group: Ab Data: New cognitive infrastructures are emerging as digital platforms and artificial intelligence enable new forms of automated thinking that shape human decision-making. This paper (a) offers a new theoretical perspective on automated thinking in education policy and (b) illustrates how automated thinking is emerging in one specific policy context. We report on a case study of a policy analysis unit ('The Centre') in an Australian state education department that has been implementing a BI strategy since 2013. The Centre is now focused on using BI to support complex decision making and improve learning outcomes, and their strategy describes this focus as becoming 'information centric'. The theoretical framework for our analysis draws on infrastructure studies and philosophy of technology, particularly Luciana Parisi's recent work on automated thinking. We analyse technical documentation and semi-structured interview data to describe the enactment of a BI strategy in The Centre, with a focus on how new approaches to data analytics are shaping decision-making. Our analysis shows that The Centre is developing a cognitive infrastructure that is already creating new conditions for education policy making, and we conclude with a call for research designs that enable pragmatic exploration of what these infrastructures can do. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2021 – Name: AN Label: Accession Number Group: ID Data: EJ1293478 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1293478 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/02680939.2019.1678766 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 309 Subjects: – SubjectFull: Automation Type: general – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Educational Policy Type: general – SubjectFull: Decision Making Type: general – SubjectFull: Policy Analysis Type: general – SubjectFull: Foreign Countries Type: general – SubjectFull: Policy Formation Type: general – SubjectFull: Computation Type: general – SubjectFull: Mathematics Type: general – SubjectFull: Australia Type: general Titles: – TitleFull: Becoming Information Centric: The Emergence of New Cognitive Infrastructures in Education Policy Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sellar, Sam – PersonEntity: Name: NameFull: Gulson, Kalervo N. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 0268-0939 Numbering: – Type: volume Value: 36 – Type: issue Value: 3 Titles: – TitleFull: Journal of Education Policy Type: main |
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