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Reflection - quantifying a rare good

Ullmann, Thomas; Wild, Fridolin and Scott, Peter (2013). Reflection - quantifying a rare good. In: ARTEL13 2013: Awareness and Reflection in Technology-Enhanced Learning, pp. 29–40.

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Abstract

Based on a literature review, reflections in written text are rare. The reported proportions of reflection are based on different baselines, making comparisons difficult. In contrast, this research reports on the proportion of occurrences of elements of reflection based on sentence level. This metric allows to compare proportions of elements of reflection. Previous studies are based on courses tailored to foster reflection. The reported proportions represent more the success of a specific instruction than informing about proportions of reflections occurring in student writings in general. This study is based on a large sample of course forum posts of a virtual learning environment. In total 1000 sentences were randomly selected and manually classified according to six elements of reflection. Five raters rated each sentence. Agreement was calculated based on a majority vote. The proportions of elements of reflection are reported and its potential application for course analytics demonstrated. The results indicate that reflections in text are indeed rare, and that there are differences within elements of reflection.

Item Type: Conference or Workshop Item
Copyright Holders: 2013 The Authors
ISSN: 1613-0073
Extra Information: Proceedings of the 3rd Workshop on Awareness and Reflection in Technology-Enhanced Learning
In conjunction with the 8th European Conference on Technology Enhanced Learning: Scaling up learning for sustained impact (ECTEL 2013)
Keywords: quantification; reflection; reflective thinking; reflective writing; reflection detection; reflection analytics
Academic Unit/School: Learning and Teaching Innovation (LTI) > Institute of Educational Technology (IET)
Learning and Teaching Innovation (LTI)
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)
Centre for Research in Education and Educational Technology (CREET)
Related URLs:
Item ID: 40065
Depositing User: Thomas Ullmann
Date Deposited: 30 Apr 2014 14:39
Last Modified: 10 Sep 2018 23:51
URI: http://oro.open.ac.uk/id/eprint/40065
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