AI-Powered Solutions for Bilingual Proficiency and Communication

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Bibliographic Details
Title: AI-Powered Solutions for Bilingual Proficiency and Communication
Language: English
Authors: Ali Sorayyaei Azar, Sedigheh Shakib Kotamjani, Marine Milad, Shanina Sharatol Ahmad Shah
Source: IGI Global. 2026.
Availability: IGI Global. 701 East Chocolate Avenue Suite 200, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; e-mail: cust@igi-global.com; Web site: http://www.igi-global.com/
Peer Reviewed: Y
Page Count: 586
Publication Date: 2026
Intended Audience: Researchers; Teachers
Document Type: Book
Collected Works - General
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Second Language Learning, Bilingualism, Technology Uses in Education, English, Pedagogical Content Knowledge, Technological Literacy, Language Teachers, Language Proficiency, Communication Skills, Gamification, Vocabulary Development, Graduate Students, Multilingualism, Language Maintenance, Ethics, Foreign Countries
Geographic Terms: Canada
DOI: 10.4018/979-8-3373-0275-1
ISBN: 979-83-373-0275-1
Abstract: Artificial intelligence (AI) is redefining the landscape of bilingual proficiency and communication by offering dynamic adaptive tools that support language and linguistic education, such as intelligent language tutoring systems, speech recognition software, and personalized learning platforms. AI technologies provide learners and educators with scalable, data-driven approaches to mastering multiple languages. "AI-Powered Solutions for Bilingual Proficiency and Communication" explores how AI tools support bilingual individuals in improving language proficiency. This book examines the ethical, social, and cultural implications of using AI in bilingual interactions. Covering topics such as adaptive assessments, language preservation, and second language acquisition, this book is an excellent resource for academicians, researchers, linguists, language educators and trainers, developers, technologists, and more.
Abstractor: As Provided
Entry Date: 2026
Accession Number: ED680131
Database: ERIC
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