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| Main Authors: | , , , , , , |
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| Format: | Recurso educativo Open Access |
| Language: | en |
| Published: |
2010
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| Subjects: | |
| Online Access: | https://eric.ed.gov/?id=ED518554 |
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Table of Contents:
- Smart Collections: Can Artificial Intelligence Tools and Techniques Assist with Discovering, Evaluating and Tagging Digital Learning Resources? Leibbrandt, Richard Yang, Dongqiang Pfitzner, Darius Powers, David Mitchell, Pru Hayman, Sarah Eddy, Helen Intelligence Efficiency Artificial Intelligence Classification Foreign Countries Researchers Educational Resources Higher Education Partnerships in Education Metadata Technology Uses in Education Experiments Library Materials This paper reports on a joint proof of concept project undertaken by researchers from the Flinders University Artificial Intelligence Laboratory in partnership with information managers from the Education Network Australia (edna) team at Education Services Australia to address the question of whether artificial intelligence techniques could be employed to help with creation and consistency of learning resource metadata and improve the efficiency of digital collection workflows? The results show some success with automated subject categorisation on a small sample, and the researchers conclude that automated classification based on artificial intelligence is useful as a means of supplementing and assisting human classification, but is not at this stage a replacement for human classification of educational resources. (Contains 2 tables.)