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Fine-Tuning a GenAI Chatbot in the Development of Math Modules for Early Elementary Learners
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Abstract
We present the development and implications of using a fine-tuned generative AI chatbot, Estella
Explainer Math Bot 2 (EEMB 2), to create math modules for early elementary learners. EEMB 2,
integrated with the Usable Math platform, serves as a reading and problem-solving coach for educators
and tutors. Our iterative design approach leverages prompt engineering, contextual storytelling, audio
enhancements, and human review to ensure age-appropriate, engaging content. This innovative
AI-enhanced method has potential applications across disciplines, offering scalable, personalized learning
experiences while supporting teacher professional development. Ethical considerations and
human-centered design principles are crucial to maintain balance and effectiveness in AI-driven
educational interventions.
Type
Article
Date
2024-10
Publisher
University of Massachusetts Amherst