This article introduces Colleague AI’s Rubric Generation tool, which automates the creation of standards-aligned rubrics to enhance K–12 assessment. While leveraging AI to streamline routine tasks, the platform preserves teacher control and support learning needs, empowering educators to focus on meaningful instruction and student growth.
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.
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.
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.
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