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Visual analytics of academic writing

Simsek, Duygu; Buckingham Shum, Simon; De Liddo, Anna; Ferguson, Rebecca and Sándor, Ágnes (2014). Visual analytics of academic writing. In: Proceedings of the Fourth International Conference on Learning Analytics And Knowledge - LAK '14, pp. 265–266.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1145/2567574.2567577
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Abstract

This paper describes a novel analytics dashboard which visualises the key features of scholarly documents. The Dashboard aggregates the salient sentences of scholarly papers, their rhetorical types and the key concepts mentioned within these sentences. These features are extracted from papers through a Natural Language Processing (NLP) technology, called Xerox Incremental Parser (XIP). The XIP Dashboard is a set of visual analytics modules based on the XIP output. In this paper, we briefly introduce the XIP technology and demonstrate an example visualisation of the XIP Dashboard.

Item Type: Conference or Workshop Item
Copyright Holders: 2014 ACM
ISBN: 1-4503-2664-1, 978-1-4503-2664-3
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Learning Teaching and Innovation (LTI) > Institute of Educational Technology (IET)
Learning Teaching and Innovation (LTI)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Centre for Research in Education and Educational Technology (CREET)
Item ID: 40056
Depositing User: Kay Dave
Date Deposited: 01 May 2014 13:49
Last Modified: 13 Feb 2017 18:23
URI: http://oro.open.ac.uk/id/eprint/40056
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