Wolff, Annika and Mulholland, Paul
(2012).
| URL: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?... |
|---|---|
| DOI (Digital Object Identifier) Link: | https://doi.org/10.1109/ICALT.2012.99 |
| Google Scholar: | Look up in Google Scholar |
Abstract
This paper proposes curation as an inquiry method for young learners who are learning history using web-based heritage resources and other online content. It introduces the QrAte tool, similar to many online social curation tools, but with added functionality for creating and supporting historical inquiry tasks. QrAte assists a learner in identifying key concepts related to an inquiry process, in asking inquiry questions and in locating and analyzing data sources, then extracting relevant information. QrAte helps the user to organize and visualize collected data and to curate an output that provides an answer to the question of the inquiry. The curated stories can be shared, whereby the content can be a 'seed' for future learners to use in their own inquiry and curation processes.
| Item Type: | Conference or Workshop Item |
|---|---|
| Copyright Holders: | 2012 The Institute of Electrical and Electronics Engineers, Inc. |
| Extra Information: | Proceedings of the: 12th IEEE International Conference on Advanced Learning Technologies
ICALT 2012 ISBN: 978-0-7695-4702-2/12 pp.468-472 |
| Keywords: | curatorial inquiry; technology-enhanced learning; historical inquiry; QrAte tool; Web-based heritage resources; curation processes; curatorial inquiry task; data collection organization; data collection visualization; data source analysis; data source location; historical inquiry tasks; historical learning; information extraction; online content; online social curation tools |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) |
| Research Group: | Centre for Research in Computing (CRC) |
| Item ID: | 33759 |
| Depositing User: | Kay Dave |
| Date Deposited: | 30 Oct 2012 11:33 |
| Last Modified: | 07 Dec 2018 10:06 |
| URI: | http://oro.open.ac.uk/id/eprint/33759 |
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