Disrupting the dissertation: linked data, enhanced publication and algorithmic culture

2.50
Hdl Handle:
http://hdl.handle.net/10547/622281
Title:
Disrupting the dissertation: linked data, enhanced publication and algorithmic culture
Authors:
Tracy, Frances ( 0000-0003-1777-8081 ) ; Carmichael, Patrick ( 0000-0003-2053-7115 )
Abstract:
This article explores how the three aspects of Striphas’ notion of algorithmic culture (information, crowds and algorithms) might influence and potentially disrupt established educational practices.  We draw on our experience of introducing semantic web and linked data technologies into higher education settings, focussing on extended student writing activities such as dissertations and projects, and drawing in particular on our experiences related to undergraduate archaeology dissertations. The potential for linked data to be incorporated into electronic texts, including academic publications, has already been described, but these accounts have highlighted opportunities to enhance research integrity and interactivity, rather than considering their potential creatively to disrupt existing academic practices. We discuss how the changing relationships between subject content and practices, teachers, learners and wider publics both in this particular algorithmic culture, and more generally, offer new opportunities; but also how the unpredictability of crowds, the variable nature and quality of data, and the often hidden power of algorithms, introduce new pedagogical challenges and opportunities.
Citation:
Tracy F, Carmichael P (2017) 'Disrupting the dissertation: linked data, enhanced publication and algorithmic culture', E-Learning and Digital Media.
Publisher:
SAGE Publications
Journal:
E-Learning and Digital Media
Issue Date:
24-Sep-2017
URI:
http://hdl.handle.net/10547/622281
DOI:
10.1177/2042753017731356
Additional Links:
http://journals.sagepub.com/doi/abs/10.1177/2042753017731356
Type:
Article
Language:
en
ISSN:
2042-7530
EISSN:
2042-7530
Appears in Collections:
Education

Full metadata record

DC FieldValue Language
dc.contributor.authorTracy, Francesen
dc.contributor.authorCarmichael, Patricken
dc.date.accessioned2017-10-13T09:15:21Z-
dc.date.available2017-10-13T09:15:21Z-
dc.date.issued2017-09-24-
dc.identifier.citationTracy F, Carmichael P (2017) 'Disrupting the dissertation: linked data, enhanced publication and algorithmic culture', E-Learning and Digital Media.en
dc.identifier.issn2042-7530-
dc.identifier.doi10.1177/2042753017731356-
dc.identifier.urihttp://hdl.handle.net/10547/622281-
dc.description.abstractThis article explores how the three aspects of Striphas’ notion of algorithmic culture (information, crowds and algorithms) might influence and potentially disrupt established educational practices.  We draw on our experience of introducing semantic web and linked data technologies into higher education settings, focussing on extended student writing activities such as dissertations and projects, and drawing in particular on our experiences related to undergraduate archaeology dissertations. The potential for linked data to be incorporated into electronic texts, including academic publications, has already been described, but these accounts have highlighted opportunities to enhance research integrity and interactivity, rather than considering their potential creatively to disrupt existing academic practices. We discuss how the changing relationships between subject content and practices, teachers, learners and wider publics both in this particular algorithmic culture, and more generally, offer new opportunities; but also how the unpredictability of crowds, the variable nature and quality of data, and the often hidden power of algorithms, introduce new pedagogical challenges and opportunities.en
dc.language.isoenen
dc.publisherSAGE Publicationsen
dc.relation.urlhttp://journals.sagepub.com/doi/abs/10.1177/2042753017731356en
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectsemantic weben
dc.subjectLinked Dataen
dc.subjectalgorithmsen
dc.subjecthigher educationen
dc.subjectarchaeologyen
dc.subjectassessmenten
dc.subjectdissertationsen
dc.subjectX342 Academic studies in Higher Educationen
dc.titleDisrupting the dissertation: linked data, enhanced publication and algorithmic cultureen
dc.typeArticleen
dc.identifier.eissn2042-7530-
dc.identifier.journalE-Learning and Digital Mediaen
dc.date.updated2017-10-13T09:11:22Z-
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