Harnessing AI to Personalize and Better Language Learning (72671)

Session Information:

Friday, 22 September 2023 14:30
Session: Session 3
Room: Sants
Presentation Type:Oral Presentation

All presentation times are UTC + 2 (Europe/Madrid)

As language instructors, we constantly seek new and better ways to support the acquisition of target languages. We know that each student is different, as well as that intrinsic motivation alone is not enough. But today, due to technology, we can deliver a better learning and teaching experience. I was lucky to learn about an AI-powered tool for learning English as a foreign language, which provides a personalized and engaging experience for learners, Magni Learn. The tool utilizes an adaptive curriculum that adjusts to the individual needs and abilities of each student, ensuring that the material is always challenging but not overwhelming. One of its key features is its nano-learning approach, which breaks down the learning process into small, manageable chunks. This allows students to make rapid progress and see the results of their efforts in a short amount of time. The tool also uses data-driven insights to track the progress of each student and provide customized feedback and recommendations. This helps students identify areas where they need to focus their efforts and provides them with the support they need to succeed. In my presentation, I will demonstrate how ML is designed to provide a highly effective and engaging experience for learners of all levels. I will suggest how to combine it with existing course content and will show some of its features. My talk will also demonstrate students’ insights as well as best practices.

Authors:
Tal Levy, Ruppin Academic College, Israel
Michal Ben Noah, Ruppin Academic College, Israel


About the Presenter(s)
Ms Tal Levy is a University Professor/Principal Lecturer at Ruppin Academic College in Israel

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00