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Analytics for learning and becoming in practice

Knight, Simon; Wise, Alysa Friend; Arastoopour, Golnaz; Williamson Shaffer, David; Buckingham Shum, Simon and Kirschner, Paul A. (2014). Analytics for learning and becoming in practice. In: Learning and Becoming in Practice : The International Conference of the Learning Sciences (ICLS) 2014, pp. 1680–1683.

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Abstract

Learning Analytics sits at the intersection of the learning sciences and computational data capture and analysis. Analytics should be grounded in the existing literature with a view to data ‘geology’ or ‘archeology’ over ‘mining’. This workshop explores how analytics may extend the common notion of activity trace data from learning processes to encompass learning practices, with a working distinction for discussion as (1) process: a series of related actions engaged in as part of learning activities; and (2) practice: a repertoire of processes organised around particular foci recognised within a social group. The workshop intersperses attendee presentations and demonstrations with relevant theme-based discussions.

Item Type: Conference or Workshop Item
Copyright Holders: 2014 International Society of the Learning Sciences , Inc. [ISLS]
ISBN: 0-9903550-5-5, 978-0-9903550-5-2
ISSN: 1814-9316
Extra Information: Workshop at the 11th International Conference of the Learning Sciences (ICLS) 2014
Keywords: learning analytics; learning sciences; data mining; education; practice; process data
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 39733
Depositing User: Simon Knight
Date Deposited: 15 Jan 2015 14:53
Last Modified: 02 May 2018 13:58
URI: http://oro.open.ac.uk/id/eprint/39733
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