The Impact of Generative AI Tools on Language Teaching and Learning: Investigating Prospective Teachers' Self-Directed Learning

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Bibliographic Details
Title: The Impact of Generative AI Tools on Language Teaching and Learning: Investigating Prospective Teachers' Self-Directed Learning
Language: English
Authors: Wen-Chi Vivian Wu (ORCID 0000-0002-2512-0979), Kuang-Yun Ting (ORCID 0000-0002-0564-9592), Po-Han Lin (ORCID 0000-0002-6669-0193)
Source: European Journal of Teacher Education. 2025 48(5):987-1012.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 26
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Tests/Questionnaires
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Second Language Instruction, Second Language Learning, English (Second Language), Preservice Teachers, Independent Study, Language Teachers, Digital Literacy, Teacher Developed Materials, Instructional Materials, Self Efficacy, Electronic Books, Foreign Countries
Geographic Terms: Taiwan
DOI: 10.1080/02619768.2025.2554682
ISSN: 0261-9768
1469-5928
Abstract: The proliferation of generative Artificial Intelligence (GenAI) tools presents transformative opportunities for language teaching and learning, precipitating the development of dynamic teaching materials. This study explores the self-directed learning (SDL) potentials of 12 EFL (English-as-a-foreign language) prospective teachers in integrating various GenAI tools to create digital English-teaching storybooks. Challenges and their overcoming strategies in developing personalised instructional materials are also recorded. Results showed that SDL strategies such as planning, management, evaluation and feedback helped the teachers learn to use GenAI tools. Although these prospective teachers' self-efficacies are influenced by technical difficulties, the support of the instructor and peers empowers them. The study underscores the critical role of AI literacy for preservice English teachers in creating instructional materials. Furthermore, it offers course guidance and pedagogical designs to enhance learners' SDL in acquiring this competence. Finally, this study provides pedagogical and theoretical implications and recommendations for future practice and research.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1503174
Database: ERIC
Description
Abstract:The proliferation of generative Artificial Intelligence (GenAI) tools presents transformative opportunities for language teaching and learning, precipitating the development of dynamic teaching materials. This study explores the self-directed learning (SDL) potentials of 12 EFL (English-as-a-foreign language) prospective teachers in integrating various GenAI tools to create digital English-teaching storybooks. Challenges and their overcoming strategies in developing personalised instructional materials are also recorded. Results showed that SDL strategies such as planning, management, evaluation and feedback helped the teachers learn to use GenAI tools. Although these prospective teachers' self-efficacies are influenced by technical difficulties, the support of the instructor and peers empowers them. The study underscores the critical role of AI literacy for preservice English teachers in creating instructional materials. Furthermore, it offers course guidance and pedagogical designs to enhance learners' SDL in acquiring this competence. Finally, this study provides pedagogical and theoretical implications and recommendations for future practice and research.
ISSN:0261-9768
1469-5928
DOI:10.1080/02619768.2025.2554682