Exploration of Feature Representations for Predicting Learning and Retention Outcomes in a VR Training Scenario

Exploration of Feature Representations for Predicting Learning and Retention Outcomes in a VR Training Scenario

Training and education of real-world tasks in Virtual Reality (VR) has seen growing use in industry. The motion-tracking data that is intrinsic to immersive VR applications is rich and can be used to improve learning beyond standard training interfaces. In this paper, we present machine learning (ML...

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Bibliographic Details
Main Authors: Alec G. Moore, Ryan P. McMahan, Nicholas Ruozzi
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Big Data and Cognitive Computing
Subjects:
virtual reality
machine learning
intelligent tutoring systems
training
Online Access:https://www.mdpi.com/2504-2289/5/3/29

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