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Empowering Non-Verbal Individuals through AI-Driven Symbolic Text Prediction: A Metaliteracy Approach to Communication and Inclusion

Title: Empowering Non-Verbal Individuals through AI-Driven Symbolic Text Prediction: A Metaliteracy Approach to Communication and Inclusion
Language: English
Authors: Melissa Beck Wells
Source: Discover Education. 2025 4.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 12
Publication Date: 2025
Document Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Descriptors: Artificial Intelligence; Augmentative and Alternative Communication; Prediction; Interpersonal Communication; Access to Education; Higher Education; Privacy; Barriers; Ethics
DOI: 10.1007/s44217-025-00809-8
ISSN: 2731-5525
Abstract: The integration of artificial intelligence (AI) into augmentative and alternative communication (AAC) systems has revolutionized the way non-verbal individuals interact with their environment. AI-powered symbolic text prediction offers innovative solutions to enhance expressive and receptive communication, promoting autonomy and social inclusion. This article examines the role of AI-driven predictive text within the frameworks of metaliteracy and Universal Design for Learning (UDL), emphasizing its potential to create adaptive and ethical digital communication environments. Recent advancements in machine learning models and natural language processing (NLP) have contributed to more sophisticated AAC tools; however, challenges such as bias in predictive algorithms, accessibility limitations, and ethical considerations persist. This study critically evaluates the benefits, challenges, and future directions of AI-powered symbolic text prediction, particularly in educational, therapeutic, and social settings. The findings highlight the need for equitable AI design that accounts for diverse linguistic and cognitive needs, reinforcing AI's role in fostering digital inclusivity and empowering non-verbal individuals to become autonomous communicators.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1489143
Database: ERIC