Training in a Virtual Learning Environment: A Process Mining Approach

Upgrading the workers' skills through adequate training is highly demanded in modern companies seeking for overall productivity and competitiveness. Currently the spread of technology-based training has fostered the development of new training approaches appositely designed for workers. In this...

Full description

Saved in:
Bibliographic Details
Main Authors: Appice, Annalisa, Ardimento, Pasquale, Malerba, Donato, Modugno, Giuseppe, Marra, Diego, Mottola, Marco
Format: Conference Proceeding
Language:English
Subjects:
classification
machine learning
process mining
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Upgrading the workers' skills through adequate training is highly demanded in modern companies seeking for overall productivity and competitiveness. Currently the spread of technology-based training has fostered the development of new training approaches appositely designed for workers. In this paper, we introduce a new training platform that uses a virtual learning environment that combines virtual reality (VR) and 360 degree technologies. In particular, we focus on the problem of predicting the outcome of the workers' training based on how the workers have behaved in the virtual learning environment during their training session. To this aim, we formulate a process mining methodology that combines features engineering and classification algorithms. The effectiveness of the proposed methodology has been validated against a real use case.
ISSN:2473-4691
DOI:10.1109/EAIS48028.2020.9122760