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...
Main Authors: | Alec G. Moore, Ryan P. McMahan, Nicholas Ruozzi |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
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Series: | Big Data and Cognitive Computing |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-2289/5/3/29 |
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