Abstract
As language instructors, we constantly seek new and better ways to support the acquisition of target languages. We know that each student is different and has different needs. We also know that intrinsic motivation alone is not enough, but due to technological developments, today we can deliver a better learning and teaching experience. A few years ago, I was fortunate enough to come across an AI-powered tool for learning English as a foreign language, which provides a personalized and engaging experience for learners, MagniLearn (ML). 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 the key features of the tool 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. I demonstrate how ML is designed to provide a highly effective and engaging experience for learners of all levels. I suggest how to combine it with existing course content and will show some of its features. My research also demonstrates students’ insights as well as best practices.
Details
Presentation Type
Theme
KEYWORDS
AI, Data Driven, Personalized Learning, Engagement
