NumPath's Adaptive Engine Now Learns from Student Mistakes

NumPath's AI math tutor can now respond to specific student errors in real-time, transforming mistake detection from a passive database log into an active remediation signal. This 60-line fix closes a critical feedback loop that previous iterations had missed—when students repeatedly make the same type of error (like borrowing mistakes in subtraction), the system now targets that specific skill rather than treating all errors as generic mastery gaps. For an edtech platform serving dyscalculic learners, this shift from static to truly adaptive problem selection is essential to validating whether mistake-aware tutoring outperforms traditional worksheets.