Research with Simulated Data

Hershkovitz, A; Knight, S; Jovanovic, J; Dawson, S; Gasevic, D

Research with Simulated Data

Hershkovitz, A Knight, S

Jovanovic, J Dawson, S Gasevic, D

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Publisher:: Society for Learning Analytics Research
Publication Type:: Journal Article
Citation:: Journal of Learning Analytics, 2017, 4, (1), pp. 1-2
Issue Date:: 2017

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Field	Value	Language
dc.contributor.author	Hershkovitz, A
dc.contributor.author	Knight, S https://orcid.org/0000-0002-8709-5780
dc.contributor.author	Jovanovic, J
dc.contributor.author	Dawson, S
dc.contributor.author	Gasevic, D
dc.date.accessioned	2021-01-04T00:08:40Z
dc.date.available	2021-01-04T00:08:40Z
dc.date.issued	2017
dc.identifier.citation	Journal of Learning Analytics, 2017, 4, (1), pp. 1-2
dc.identifier.issn	1929-7750
dc.identifier.issn	1929-7750
dc.identifier.uri	http://hdl.handle.net/10453/145061
dc.description.abstract	<jats:p>This first issue of the Journal of Learning Analytics in 2017 features a special section of invited papers from the recent Learning Analytics and Knowledge conference (LAK'16). The theme of the conference, and this special section, relates to the need for Learning Analytics research to challenge our methodological and theoretical assumptions and build new interdisciplinary connections to further our thinking.</jats:p>
dc.language	en
dc.publisher	Society for Learning Analytics Research
dc.relation.ispartof	Journal of Learning Analytics
dc.relation.isbasedon	10.18608/jla.2017.41.1
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1303 Specialist Studies in Education
dc.title	Research with Simulated Data
dc.type	Journal Article
utslib.citation.volume	4
utslib.for	1303 Specialist Studies in Education
pubs.organisational-group	/University of Technology Sydney/Faculty of Transdisciplinary Innovation
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
dc.date.updated	2021-01-04T00:08:34Z
pubs.issue	1
pubs.publication-status	Published online
pubs.volume	4
utslib.citation.issue	1

Abstract:

This first issue of the Journal of Learning Analytics in 2017 features a special section of invited papers from the recent Learning Analytics and Knowledge conference (LAK'16). The theme of the conference, and this special section, relates to the need for Learning Analytics research to challenge our methodological and theoretical assumptions and build new interdisciplinary connections to further our thinking.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/145061