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.
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Doctor of Philosophy (Ph.D.)
College of Arts and Humanities
Texts and Technology
Length of Campus-only Access
Doctoral Dissertation (Open Access)
Sinyagovskaya, Daria, "Methodology of Augmented Reality Chinese Language Articulatory Pronunciation Practice: Game and Study Design" (2022). Electronic Theses and Dissertations, 2020-. 1440.
Restricted to the UCF community until December 2022; it will then be open access.