SEeMS: Advanced Artificial Neural Networks for Employee Learning Motivation Prediction

Full text for this resource is not available from the Research Repository.

Sin, Audrey, Islam, Sardar M. N ORCID: 0000-0001-9451-7390, Prentice, Catherine and Xia, Feng (2022) SEeMS: Advanced Artificial Neural Networks for Employee Learning Motivation Prediction. In: 7th International Conference for Convergence in Technology (I2CT 2022), 7 Apr 2022 - 9 Apr 2022, Pune, India.

Dimensions Badge

Altmetric Badge

Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/46997
DOI 10.1109/I2CT54291.2022.9825056
Official URL https://ieeexplore.ieee.org/document/9825056
ISBN 9781665421683
Subjects Current > FOR (2020) Classification > 4611 Machine learning
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords employee professional development; employee motivation; learning behaviour; predictive models; self-determination theory
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login