Smart collections: Can artificial intelligence tools and techniques assist with discovering, evaluating and tagging digital learning resources?

作者: Richard Leibbrandt , Helen Eddy , Dongqiang Yang , David Powers , Sarah Hayman

DOI: 10.29173/IASL7728

关键词: MetadataSubject (documents)General partnershipConsistency (database systems)Small sampleArtificial intelligenceDigital learningWorkflowProof of conceptComputer science

摘要: 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 Education Network Australia (edna) team at Services to address question whether artificial intelligence techniques could be employed help creation and consistency learning resource metadata improve efficiency digital collection workflows? The results show some success automated subject categorisation small sample, conclude that classification based is useful as means supplementing assisting human classification, but not this stage replacement for educational resources.

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