Aul, Vani, Sauer, Christian, Briggs, Gill and Roth-Berghofer, Thomas (2014) Leveraging metadata from information resources to provide a technical solution for populating electronic reading lists - UWL's experiments with Talis Aspire. In: University of West London Teaching and Learning Conference 2014, 24 June 2014, Ealing, UK.Full text not available from this repository.
This paper explains the importance of providing a better
learning experience to higher education students by increasing the accessibility of module specific learning resources. In doing so the University of West London Library (UWL Library) implemented reading list software called Talis Aspire reading lists 1. As with any new software, this software also requires some input to make it work for the actual users, the academic staff and students of UWL. This paper explains the approach adopted by UWL Library to populate the reading lists by using existing data to classify information resources that are then re-used to create new, module specific, reading lists. As the Talis Aspire Software has been employed in a number of universities in the UK our approach provides an opportunity for reuse of our experience with the new approach we took for these universities in order to solve similar problems, should they occur. Our approach currently is able to classify information resources with high accuracy, ranging between 86 and 98 per-cent correct classiffications.
|Item Type:||Conference or Workshop Item (Paper)|
|Subjects:||Computer science, knowledge and information systems
Library and information sciences
|Depositing User:||Christian Sauer|
|Date Deposited:||24 Nov 2014 12:05|
|Last Modified:||24 Nov 2014 12:07|
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