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

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.