Creating data for learning analytics ecosystems

Kitto, K; Whitmer, J; Silvers, A; Webb, M

Creating data for learning analytics ecosystems

Kitto, K

Whitmer, J Silvers, A Webb, M

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Publisher:: Society for Learning Analytics Research
Publication Type:: Report
Citation:: 2020
Issue Date:: 2020-09-26

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Field	Value	Language
dc.contributor.author	Kitto, K https://orcid.org/0000-0001-7642-7121
dc.contributor.author	Whitmer, J
dc.contributor.author	Silvers, A
dc.contributor.author	Webb, M
dc.date.accessioned	2021-12-08T00:01:48Z
dc.date.available	2021-12-08T00:01:48Z
dc.date.issued	2020-09-26
dc.identifier.citation	2020
dc.identifier.uri	http://hdl.handle.net/10453/152209
dc.description.abstract	Learning is a complex process that involves rich interactions between people, politics, places, and increasingly, technology. Using clickstream data to provide deep insights into learning requires care and a system-wide approach. We need learning analytics ecosystems. This position paper discusses the challenges faced by institutions as they seek to wrangle data from a portfolio of technology products and services to deliver rich learning experiences. It identifies a number of systemic failures that are leading many institutions to collect a large quantity of data that yields very few educationally relevant insights; from a lack of data policies to competition between vendors and standards. This position paper provides several high-level recommendations for three different sets of stakeholders to consider as they move towards a more mature implementation of LA: (i) Institutions procuring EdTech products; (ii) EdTech vendors seeking to deliver analytics products, and (iii) The LA community of practitioners. We also provide detailed evidence and examples in a series of appendices that are pitched at more technical members of your organisation as you seek to build a robust and useful learning analytics ecosystem.
dc.language	en
dc.publisher	Society for Learning Analytics Research
dc.relation	Australian Learning & Teaching Council
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Creating data for learning analytics ecosystems
dc.type	Report
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)/Connected Intelligence Centre
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-12-08T00:01:46Z
pubs.confidential	false
pubs.place-of-publication	Sydney
pubs.publication-status	Published online
dc.location	Sydney

Abstract:

Learning is a complex process that involves rich interactions between people, politics, places, and increasingly, technology. Using clickstream data to provide deep insights into learning requires care and a system-wide approach. We need learning analytics ecosystems. This position paper discusses the challenges faced by institutions as they seek to wrangle data from a portfolio of technology products and services to deliver rich learning experiences. It identifies a number of systemic failures that are leading many institutions to collect a large quantity of data that yields very few educationally relevant insights; from a lack of data policies to competition between vendors and standards. This position paper provides several high-level recommendations for three different sets of stakeholders to consider as they move towards a more mature implementation of LA: (i) Institutions procuring EdTech products; (ii) EdTech vendors seeking to deliver analytics products, and (iii) The LA community of practitioners. We also provide detailed evidence and examples in a series of appendices that are pitched at more technical members of your organisation as you seek to build a robust and useful learning analytics ecosystem.

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http://hdl.handle.net/10453/152209