A cognitive processing framework for learning analytics

Gibson, A; Kitto, K; Willis, J

A cognitive processing framework for learning analytics

Gibson, A

Kitto, K

Willis, J

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Publication Type:: Conference Proceeding
Citation:: ACM International Conference Proceeding Series, 2014, pp. 212 - 216
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Gibson, A https://orcid.org/0000-0003-4619-6515	en_US
dc.contributor.author	Kitto, K https://orcid.org/0000-0001-7642-7121	en_US
dc.contributor.author	Willis, J	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	ACM International Conference Proceeding Series, 2014, pp. 212 - 216	en_US
dc.identifier.isbn	1595930361	en_US
dc.identifier.isbn	9781595930361	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121215
dc.description.abstract	Incorporating a learner's level of cognitive processing into Learning Analytics presents opportunities for obtaining rich data on the learning process. We propose a framework called COPA that provides a basis for mapping levels of cognitive operation into a learning analytics system. We utilise Bloom's taxonomy, a theoretically respected conceptualisation of cognitive processing, and apply it in a flexible structure that can be implemented incrementally and with varying degree of complexity within an educational organisation. We outline how the framework is applied, and its key benefits and limitations. Finally, we apply COPA to a University undergraduate unit, and demonstrate its utility in identifying key missing elements in the structure of the course. Copyright © 2014 by the Association for Computing Machinery, Inc.	en_US
dc.relation.ispartof	ACM International Conference Proceeding Series	en_US
dc.relation.isbasedon	10.1145/2567574.2567610	en_US
dc.title	A cognitive processing framework for learning analytics	en_US
dc.type	Conference Proceeding
utslib.for	130306 Educational Technology and Computing	en_US
pubs.embargo.period	Not known	en_US
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	closed_access
pubs.publication-status	Published	en_US

Abstract:

Incorporating a learner's level of cognitive processing into Learning Analytics presents opportunities for obtaining rich data on the learning process. We propose a framework called COPA that provides a basis for mapping levels of cognitive operation into a learning analytics system. We utilise Bloom's taxonomy, a theoretically respected conceptualisation of cognitive processing, and apply it in a flexible structure that can be implemented incrementally and with varying degree of complexity within an educational organisation. We outline how the framework is applied, and its key benefits and limitations. Finally, we apply COPA to a University undergraduate unit, and demonstrate its utility in identifying key missing elements in the structure of the course. Copyright © 2014 by the Association for Computing Machinery, Inc.

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

http://hdl.handle.net/10453/121215