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XIP Dashboard: visual analytics from automated rhetorical parsing of scientific metadiscourse

Simsek, Duygu; Buckingham Shum, Simon; Sandor, Agnes; De Liddo, Anna and Ferguson, Rebecca (2013). XIP Dashboard: visual analytics from automated rhetorical parsing of scientific metadiscourse. In: 1st International Workshop on Discourse-Centric Learning Analytics, 8 Apr 2013, Leuven, Belgium.

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A key competency that we seek to build in learners is a critical mind, i.e. ability to engage with the ideas in the literature, and to identify when significant claims are being made in articles. The ability to decode such moves in texts is essential, as is the ability to make such moves in one’s own writing. Computational techniques for extracting them are becoming available, using Natural Language Processing (NLP) tuned to recognize the rhetorical signals that authors use when making a significant scholarly move. After reviewing related NLP work, we introduce the Xerox Incremental Parser (XIP), note previous work to render its output, and then motivate the design of the XIP Dashboard, a set of visual analytics modules built on XIP output, using the LAK/EDM open dataset as a test corpus. We report preliminary user reactions to a paper prototype of such a novel dashboard, describe the visualizations implemented to date, and present user scenarios for learners, educators and researchers. We conclude with a summary of ongoing design refinements, potential platform integrations, and questions that need to be investigated through end-user evaluations.

Item Type: Conference or Workshop Item
Copyright Holders: 2013 The Authors
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetWolfson Foundation
Extra Information: A pre-conference workshop at LAK13
Keywords: learning analytics; Natural Language Processing; discourse; metadiscourse; argumentation; rhetoric; visualization
Academic Unit/School: Institute of Educational Technology (IET)
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: 37391
Depositing User: Duygu Bektik
Date Deposited: 11 Apr 2013 11:33
Last Modified: 15 Dec 2019 07:19
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