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Knight, Simon; Wise, Alysa Friend; Arastoopour, Golnaz; Williamson Shaffer, David; Buckingham Shum, Simon and Kirschner, Paul A.
(2014).
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.
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About
- Item ORO ID
- 39733
- Item Type
- Conference or Workshop Item
- 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 or 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)
- Copyright Holders
- © 2014 International Society of the Learning Sciences , Inc. [ISLS]
- Related URLs
- Depositing User
- Simon Knight