Please find below the IGeLU 2019 Conference, Developers' Day plus Ex Libris Knowledge Day Programme, in a slightly abbreviated form. The final and full version of the programme will be published in the IGeLU Conference App available from Apple Store & Google Play. The Conference Planning Committee reserves the right to make last minute alterations to the schedule where necessary.
Predicting Student Success with Leganto: a “Proof of Concept” machine learning project
Conference or Developers' Day
Conference
Abstract
Commencing as an early adopter of Ex Libris' Leganto product, Leganto was successfully implemented into the Curtin University community in 2016.
In 2017 Curtin Library agreed to participated in an Ex Libris “proof of concept” project to investigate the correlation between students’ success and their Leganto activities. The aim of this project was to determine if it was possible to identify students who may be likely to struggle and, therefore, provide an opportunity for early intervention to help them succeed.
This learning analytics project, using data mining and machine learning algorithms, is a digitally transformative investigation into whether a predictive model can be built that could play an important role in student retention efforts.
This presentation will discuss the methodologies and findings of the “Predicting Student Success with Leganto” project conducted between Ex Libris and Curtin University Library.
Main Topic
Leganto
Presenters
Linda Jane Sheedy, Curtin University
Presenter's job title
Coordinator, Collection Access
Co-Presenters
Sue Harmer, Moderator, UNSW Australia
Co-presenter's job title
Associate Director, Digital Experience and Innovation