The University of Kent has so far hosted six events in its Modern Languages Teaching Forum series.
The latest Modern Languages Teaching Forum took place on 6 September 2023, online. The recording can be found at this address.
If you haven’t done so already, you can also subscribe to the Forum mailing list for information about future events and discussions.
Active Call for Contributions:
The AI revolution in Language Education: Call for Contributions
Abstract Submission Deadline: 15/12/23
Notification of Acceptance: by 15/01/24
We invite scholars, researchers, and practitioners in the field of language teaching and learning to contribute to an upcoming edited collection focused on the transformative role of artificial intelligence (AI) in language education. This collection aims to explore the latest developments, innovations, challenges, and best practices in leveraging AI technologies to enhance language acquisition and instruction.
We welcome contributions that address a wide range of topics, including but not limited to:
- Innovative AI-driven language learning platforms and applications.
- Adaptive learning systems and personalised instruction using AI.
- Natural language processing (NLP) and its applications in language assessment.
- AI-supported language assessment and feedback mechanisms.
- AI-driven chatbots and virtual language tutors.
- Ethical considerations in AI-enhanced language education.
- The impact of AI on learner motivation and engagement.
- Teacher roles and professional development in AI-integrated language classrooms.
- Case studies and practical experiences in implementing AI in language teaching.
Submission Guidelines:
Interested authors should submit an abstract (300-500 words) outlining the proposed chapter’s objectives, methodology, and expected contributions to the collection. Please also include a brief bio highlighting your relevant experience. Submissions should be sent to Wissia Fiorucci (w.fiorucci@kent.ac.uk) and Alvise Sforza Tarabochia (a.sforza-tarabochia@kent.ac.uk).
Authors of accepted abstracts will be asked to submit a chapter of up to 8,000 words in due course. The submitted chapter will undergo peer review.