Call for Papers: Special Issue on AI Technology in Language Education
Guest Editor:
Bradford J. Lee, Fukui University of Technology
Focus and Scope
Artificial Intelligence (AI) technology has ushered in a new era of innovation in language education, revolutionizing the way we teach and learn languages. From personalized learning paths to real-time feedback, AI is reshaping language education in diverse and exciting ways. Technology in Language Teaching and Learning invites researchers, educators, and practitioners to contribute to a special issue focusing on how students and educators can best make use of AI for language education. We welcome submissions on topics including but not limited to:
⚫ Personalized Language Learning:
➢ AI-driven approaches to tailor language instruction to individual learners' needs and abilities.
⚫ Pronunciation and Speech Recognition:
➢ Innovations in AI technology for improving pronunciation, intonation, and speech fluency.
⚫ Language Assessment:
➢ AI-based assessment tools, their reliability, and their role in evaluating language proficiency.
⚫ Language Content Generation:
➢ AI-generated language learning materials, exercises, and content curation.
⚫ Translation and Transcription:
➢ The use of AI for language translation, transcription, and its impact on language learning.
⚫ Interactive Language Practice:
➢ Chatbots, virtual language partners, and other AI-driven conversational tools.
⚫ Data-Driven Insights:
➢ Utilizing AI to collect and analyze data on language learners' progress and behavior.
⚫ Innovative Pedagogical Approaches:
➢ New teaching methods and strategies empowered by AI.
Submission Guidelines
Submissions should be original and not previously published. For more information on the submission process and guidelines, please visit the journal website: https://www.castledown.com/journals/tltl/submission-guidelines/
Manuscript types:
1 Empirical Research Paper (6000-8000 words)
2 Discussion Paper or Theoretical Paper (4000-6000 words)
Abstracts should be approximately 300 words and should be submitted to tltl-ai@castledown.com. Please feel free to contact the guest editor at the above address should you have any questions about the issue.
Technology in Language Teaching & Learning is an open access journal, and all articles are immediately available on publication. There are no fees to submit to or to publish in this journal.
Important Dates:
Deadline for Submission of Abstracts: December 31, 2023
Notification of Abstract Acceptance: January 14, 2024
Manuscript Submission Deadline: June 30, 2024
1st Round Revision Notification: August 15, 2024
1st Round Revision Submission Deadline: September 30, 2024
2nd Round Revision Notification: October 31, 2024
2nd Round Revision Submission Deadline: November 30, 2024
Estimated Publication Date: December 2024
