Example Concept: AI-driven analytics tools in education can process large volumes of student data to identify recurring mistakes. By using machine learning algorithms, these tools categorize errors and provide insights into common misconceptions or knowledge gaps. Teachers can then use this information to tailor their instruction, focusing on areas where students struggle the most, ultimately improving learning outcomes.