Predicting skill learning outcomes in a large, longitudinal MOBA dataset

Aung, Myat Thura, Bonometti, Valerio, Drachen, Anders orcid.org/0000-0002-1002-0414 et al. (4 more authors) (2018) Predicting skill learning outcomes in a large, longitudinal MOBA dataset. In: Proceedings of the IEEE Computational Intelligence in Games. IEEE

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Copyright, Publisher and Additional Information:

This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Keywords: games
Dates:
  • Published: 2018
  • Accepted: 30 April 2018
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
The University of York > Faculty of Sciences (York) > Psychology (York) > York Neuroimaging Centre
Depositing User: Pure (York)
Date Deposited: 28 Jun 2018 08:10
Last Modified: 07 Feb 2025 00:07
Status: Published
Publisher: IEEE
Open Archives Initiative ID (OAI ID):

Download

Accepted Version

Filename: predicting_skill_learning.pdf

Description: predicting-skill-learning

CLICK TO DOWNLOAD [thumbnail of predicting-skill-learning]

Export

Statistics


CORE (COnnecting REpositories)