Research
Beyond Algorithms: Professional Knowledge in AI-Powered Mathematics Teaching
The paper argues for the essential role of mathematics educators’ professional expertise in human-centered approach to plan high-quality, ambitious mathematics instruction utilizing AI-powered tools.
Empowering Teachers as AI Architects: The COALESCE Framework for Educational Technology Design
This paper argues that transforming educators from passive users to active co-creators in AI educational tool development, through the COALESCE framework, leads to more effective and contextually relevant technology solutions, as demonstrated through a comprehensive study with K-12 mathematics teachers that showed significant improvements in lesson planning efficiency and technology adoption rates.
Adapting to Educate: Conversational AI’s Role in Mathematics Education Across Different Educational Contexts
This study examines conversational AI’s adaptability in K-12 math education contexts. Educators seek AI guidance on assessment, cognitive demand, and real-world connections, with needs varying by context. While AI can provide relevant information when contexts are explicit, its ability to consistently adapt across educational settings remains limited, requiring further development.