What 260 Ideas About GenAI Math Tutoring Taught Us
🔍 Key Findings 1. A single AI model is not enough. The most powerful solutions use a combination of multiple AI models. Improve accuracy, reduce costs, and provide personalized feedback for diverse learners. Ensure consistency with class content by linking it to curriculum and learning theories. A flexible structure that can be replaced immediately when a new model is released is important. 2. AI is a tool that enhances, not replaces, people. The key to effective tutoring is the relationship between people. AI helps tutors prepare lessons and provides real-time information to teachers. Facilitates small group collaborative learning among students and provides support when needed. We help teachers continuously grow by providing ideas during class and providing feedback after class. The future is not about humans vs. machines, but about human-machine collaboration. 3. A student's motivation to learn is as important as getting the right answer. Many programs focus solely on getting the right answer and overlook students' interests. Notable strategies: Various forms of interaction, such as drawing on a digital whiteboard or thinking out loud A learning environment with AI-based friends A "teachable AI friend" that allows students to teach AI and deepen their thinking. Simply conversing with chatbots isn't the future of educational AI. 📊 Next Step: Validating in a Real Classroom Pilot operation scheduled for spring 2026
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