Return to search

High-Immersion Virtual Reality for Language Learning

This manuscript-style dissertation consists of three publications interconnected in their focus on the dynamically evolving use of immersive virtual reality technologies for language education. The manuscripts included in this dissertation were adapted from three research papers published or submitted for publication in scientific journals and book chapters. The first manuscript provides an overview of immersive technologies of different levels of immersion, ranging from 2D displays on a flat screen to highly immersive interactive experiences rendered in virtual reality using head-mounted displays. The second manuscript is a systematic review, and it narrows down the scope of immersive technologies outlined in the previous publication by exploring existing research on the technologies related to the highest level of immersion for language learning, namely the high-immersion virtual reality technologies. The third manuscript continues to investigate the application of those technologies for language learning, but the focus is shifted from examining virtual reality applications to exploring language teachers' beliefs about using those technologies. This dissertation offers a comprehensive overview of high-immersion virtual reality use for language learning which may serve as an ideal starting point for researchers and educators interested in learning more about the current state of virtual reality integration in schools from the perspectives of both language learners and teachers.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc1944376
Date05 1900
CreatorsKucher, Tetyana
ContributorsLin, Lin, Eutsler, Lauren, Kaplan-Rakowski, Regina, Spector, ‪Jonathan Michael
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
FormatText
RightsPublic, Kucher, Tetyana, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved.

Page generated in 0.002 seconds