Towards a Convergent Development of Learning Analytics

Ochoa, X; Hershkovitz, A; Wise, A; Knight, S

Towards a Convergent Development of Learning Analytics

Ochoa, X Hershkovitz, A Wise, A Knight, S

Permalink

Publication Type:: Journal Article
Citation:: Journal of Learning Analytics, 2017, 4 pp. 1 - 6
Issue Date:: 2017-12

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Published VersionAdobe PDF (323.77 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Ochoa, X	en_US
dc.contributor.author	Hershkovitz, A	en_US
dc.contributor.author	Wise, A	en_US
dc.contributor.author	Knight, S https://orcid.org/0000-0002-8709-5780	en_US
dc.date.issued	2017-12	en_US
dc.identifier.citation	Journal of Learning Analytics, 2017, 4 pp. 1 - 6	en_US
dc.identifier.issn	1929-7750	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127153
dc.description.abstract	In the last 7 years, since the first LAK conference, Learning Analytics has grown rapidly as a field from a small group of interested scholars and practitioners to one of the most scientifically successful and institutionally accepted areas of Learning and Educational Technologies. Learning Analytics is often referred as a "Middle-Space" where experts from diverse fields (from the Learning Sciences, Computer Science, Human-Computer Interaction, Psychology and Behavioural Sciences, just to name a few) share their perspectives on how to better understand and optimize learning processes and environments using this new instrument called Data Science.	en_US
dc.language	en	en_US
dc.relation.ispartof	Journal of Learning Analytics	en_US
dc.relation.isbasedon	10.18608/jla.2017.43.1	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Towards a Convergent Development of Learning Analytics	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.for	1303 Specialist Studies in Education	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Transdisciplinary Innovation
utslib.copyright.status	open_access	*
pubs.volume	4	en_US

Abstract:

In the last 7 years, since the first LAK conference, Learning Analytics has grown rapidly as a field from a small group of interested scholars and practitioners to one of the most scientifically successful and institutionally accepted areas of Learning and Educational Technologies. Learning Analytics is often referred as a "Middle-Space" where experts from diverse fields (from the Learning Sciences, Computer Science, Human-Computer Interaction, Psychology and Behavioural Sciences, just to name a few) share their perspectives on how to better understand and optimize learning processes and environments using this new instrument called Data Science.

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

http://hdl.handle.net/10453/127153