A cognitive processing framework for learning analytics
Gibson, Andrew, Kitto, Kirsty, & Willis, Jill (2014) A cognitive processing framework for learning analytics. In 4th International Conference on Learning Analytics and Knowledge (LAK 14), 24-28 March 2014, Indianapolis, Indiana.
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.
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|Item Type:||Conference Paper|
|Keywords:||HERN, Learning Analytics, Curriculum Design, Bloom's Revised Taxonomy, Cognitive Processing|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Australian and New Zealand Standard Research Classification > EDUCATION (130000) > EDUCATION SYSTEMS (130100) > Education Systems not elsewhere classified (130199)
Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > COGNITIVE SCIENCE (170200) > Cognitive Science not elsewhere classified (170299)
|Divisions:||Current > Schools > School of Cultural & Professional Learning
Current > QUT Faculties and Divisions > Faculty of Education
Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2014 Andrew Gibson, Kirsty Kitto, Jill Willis|
|Copyright Statement:||Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Permissions@acm.org. LAK '14, March 24 - 28 2014, Indianapolis, IN, USA Copyright is held by the owner/author(s). Publication rights licensed to ACM. ACM 978-1-4503-2664-3/14/03…$15.00.|
|Deposited On:||04 Feb 2014 23:14|
|Last Modified:||24 Feb 2015 13:53|
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