Category: Keynote – 2026

Keynote: Language Learning in the AI Era: Back to the Roots or Fast Lane to the Future? Abstract: As we navigate the rapid integration of Artificial Intelligence in education, we must ask ourselves: How do these technological advancements align with the core principles of language acquisition? Are we returning to fundamental pedagogical values, or are we accelerating toward an entirely new educational landscape? The example of writing in the language classroom will be used to explore how AI tools can both support and challenge traditional approaches, highlighting opportunities for enhancing learner engagement, fostering creativity, and personalising feedback.

Keynote: Are You AI-Ready? Preparing Faculty for the New Era of Teaching and Learning. Abstract: Artificial intelligence is transforming the landscape of post-secondary education, creating new opportunities for instructional innovation while raising critical concerns around assessment, academic integrity, faculty workload, and equity. Many educators feel unprepared for this rapid shift and need clear, practical guidance on how to adapt their teaching and support their students in an AI-rich environment. This session provides a balanced, actionable roadmap designed specifically for faculty. Participants will explore the tangible benefits of AI—including personalized learning, improved accessibility, and instructional efficiency—as well as the challenges related

Keynote: Three Proposals for the Effective and Ethical Use of AI in the Teaching and Learning of English in Georgian Universities and Schools. Abstract: Globally, artificial intelligence has become a key part of language learning experiences. It is changing how learners access material, receive feedback, and carry out complex literacy tasks in their additional languages. In Georgia, where English is taught as a foreign language in universities and schools, generative AI tools offer both opportunities and risks, especially related to academic honesty, assessment quality, and equal access. This paper draws on research in artificial intelligence, computer-assisted language learning (CALL), technology-based

Keynote: Studying language change in the AI era: Will ChatGPT or a language corpus win the game? Abstract: Learning foreign languages based on data collected in corpora (known as Data-Driven Learning) has a long tradition with numerous studies proving the beneficial effect of corpus consultations on increasing authenticity of language instruction, improving grammar discovery and vocabulary acquisition. The emergence of Web-as-Corpus and do-it-yourself concordancing approaches, together with facilitated access to ready-made corpora, enabled the incorporation of DDL techniques into language classrooms. However, with the Generative Artificial Intelligence tools revolutionising the language teaching landscape, a question needs to be asked whether