Abstract
Learning a language can be hard. Learning a language that contains tones to convey meaning is even harder. This dissertation presents a novel methodology for creating a language practice using augmented reality that has never been used before. The design of a new app in AR and non-AR versions can evaluate the same practice methodology. This methodology was applied to new software and was examined in regard to the importance of this software. Although the study results are inconclusive, progress has been made in answering research questions on the effectiveness of AR versus non-AR and the reliability of peer assessment. This study is essential for developing future language applications using design and methodologies in AR and peer evaluation.
Notes
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Graduation Date
2022
Semester
Fall
Advisor
Murray, John
Degree
Doctor of Philosophy (Ph.D.)
College
College of Arts and Humanities
Degree Program
Texts and Technology
Format
application/pdf
Identifier
CFE0009411; DP0027134
URL
https://purls.library.ucf.edu/go/DP0027134
Language
English
Release Date
December 2022
Length of Campus-only Access
None
Access Status
Doctoral Dissertation (Open Access)
STARS Citation
Sinyagovskaya, Daria, "Methodology of Augmented Reality Chinese Language Articulatory Pronunciation Practice: Game and Study Design" (2022). Electronic Theses and Dissertations, 2020-2023. 1440.
https://stars.library.ucf.edu/etd2020/1440
Included in
Chinese Studies Commons, Graphics and Human Computer Interfaces Commons, Language and Literacy Education Commons