Some recent work on using AI to teach math. This paper from the Learning Agency focuses on identifying a taxonomy of math errors and emphasizing "a strategic focus on the thoughtful and intentional design of assessments that provide accurate diagnostic assessments of student errors." In related work, Khan Academy provides a dataset and explanation. "This paper specifically addresses the accuracy of LLMs in performing math correctly while tutoring students." Some authors from Stanford University also wedge their way into the conversation, offering "a dataset of real-world tutoring conversations, annotated with expert decisions and responses." Via forums here and here.
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