A Conversation with Professor Rod Ellis: Task-based Language Teaching, SLA and AI

Описание: 🎙️ Task-Based Language Teaching, SLA, and AI: A Conversation with Professor Rod Ellis

In this first episode of The Language Innovators Podcast, Linh Phung and Nikolas Wolfe interview Professor Rod Ellis, one of the most influential scholars in Second Language Acquisition (SLA), to explore Task-Based Language Teaching (TBLT) and the growing role of AI in language education.

Together, they discuss the fundamentals of TBLT, implicit/ explicit learning, and the potential and dangers of AI in language education and beyond.

This interview is hosted by Eduling: The Hub for Task-Based Teaching and Learning, an AI-powered platform designed to make meaningful, task-based language teaching accessible to every language teacher and learner. Eduling brings the most empirically validated approach to language learning, Task-Based Language Teaching, to life through intelligent agents, expertly designed tasks, and authentic communication experiences.

Eduling website: https://eduling.ai
Eduling app on the App Store or Google Play: https://eduling.chottu.link/home

👤 About Professor Rod Ellis
Professor Rod Ellis is a world-renowned linguist and a leading expert in Second Language Acquisition. He is best known for bridging SLA theory and classroom practice, particularly through his influential work on Task-Based Language Teaching, implicit and explicit learning, and individual differences in language learning.

Rod Ellis is distinguished Professor Emeritus at the University of Auckland (New Zealand) and Curtin University (Australia), Senior Professor at Anaheim University (USA), Fellow of the Royal Society of New Zealand and one of the most highly cited scholars in applied linguistics with a citation count of 152,668 on Google Scholar at the time of interview.

💡 Topics & Questions Discussed
What is Task-Based Language Teaching, and how has it been applied worldwide?
How different is TBLT and other approaches such as content-based and project-based approaches
What is a task?
Do Natural Order, Monitor Theory, Universal Grammar have anything to do with TBLT?
How do we design a task-based training program for languages without a written script?
Is TBLT alone sufficient for language acquisition?
What role can AI play in language learning and task performance?
What aspects of human communication are still missing in chatbots and AI systems?
Is it possible to acquire a language using only AI or computer-generated interaction?
How can we work with AI now that it’s here to stay?