MuseLearn

The problem: AI chatbots make it easy for students to hand in perfect work they don't understand. I teach technology at a public high school in the Dominican Republic, and a submitted assignment no longer tells me whether a student learned anything. Teachers usually find out too late, at the exam. The project: MuseLearn is an AI study companion for secondary school that works for learning, not around it. It keeps the classroom flow teachers already know (classes, tasks, submissions) and adds three things: • Plan: when the teacher creates a task, Muse Spark Open analyzes it for each student (difficulty, time, priority) and re-plans their week around their real study hours. • Tutor: a Socratic tutor, by voice or text, that gives hints and questions but never the answer, at the help level the teacher chose. • Verify: after the student submits, even a photo of their handwritten notebook or code, Muse Spark reads the actual work and asks 3–5 short questions about it, like "tell me in your own words what you did in line 2." The student gets a comprehension report and a personalized practice route. The teacher gets AI-drafted feedback, always decides the grade, and sees understanding by student and concept. In other words, the teacher sees who really understood, not just who submitted.