Options
Augmented Reality as a Tool for Enhancing Education: Influencing Pedagogical Practices in Immersive Settings
Author(s)
Date Issued
2025
Date Available
2025-11-26T12:58:05Z
Abstract
This thesis explores how Augmented Reality (AR) can transform traditional educational practices by creating engaging, interactive, and adaptive learning experiences—especially for neurodiverse students. Through systematic literature reviews, theoretical models, and the design of prototype applications, the research addresses how AR can be harnessed to support reading comprehension, pronunciation accuracy, and behavioral learning in immersive educational settings. Drawing on frameworks such as the Technology Acceptance Model (TAM) and evidence from pilot evaluations, the thesis demonstrates that AR interventions enhance motivation, improve skill acquisition, and foster more inclusive classrooms. A core focus involves neurodiverse populations, whose varied cognitive profiles often require tailored, multi-sensory teaching tools. The thesis introduces two custom AR applications: the Vowel Trainer, which provides real-time speech feedback to improve phoneme pronunciation, and EduVision, an immersive reading platform that pairs context-rich storylines with eye-tracking data to assess comprehension and engagement. Empirical findings highlight significant gains in learner performance and satisfaction, emphasizing the importance of intuitive interfaces, context-aware feedback, and the repeated use of target vocabulary across both tools. While the results affirm the promise of AR-based learning, the thesis also identifies practical barriers—high hardware costs, ethical concerns (particularly around learner privacy and data governance), and the need for professional training—and proposes solutions for broader, sustainable implementation. By integrating theoretical insights, system design principles, and empirical validations, this thesis offers a comprehensive roadmap for leveraging AR to enhance educational equity, learner engagement, and measurable learning outcomes.
Type of Material
Doctoral Thesis
Qualification Name
Doctor of Philosophy (Ph.D.)
Publisher
University College Dublin. School of Computer Science
Copyright (Published Version)
2025 the Author
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
File(s)
Loading...
Name
Matin2025.pdf
Size
12.77 MB
Format
Adobe PDF
Checksum (MD5)
eb0552018ae4fb2deafff55b675da7d9
Owning collection