Technological Infrastructure
– Scaffolding Learning Autonomy at Scale:

We envision and are developing a multilingual, open-source mobile application that serves as a personalized learning environment for students. This app will help students set individual learning goals, track their progress, access personalized learning resources, reflect on their learning journey, and collaborate in virtual communities. Critically, AI will be used to recommend relevant peers, projects, and resources based on each student’s profile and interests. The app will also facilitate parental engagement through multilingual notifications and SDL goal-tracking.

We advocate for every district to have access to localized, offline-first digital libraries. These libraries would be synced to national databases via low-cost mesh networks or satellite connectivity, ensuring that high-quality, diverse learning content is available even in remote areas with limited internet access. This supports hybrid and asynchronous SDL, bridging the digital divide.

We are exploring the integration of AI tools within classrooms to support routine tasks like content delivery (e.g., explaining concepts, answering factual questions) and basic grading. This frees up teachers’ valuable time, allowing them to focus more on creative facilitation, providing personalized feedback, fostering critical thinking, and building deeper mentor-student relationships.