What is one way AI can influence teaching methodologies?

AI can significantly influence teaching methodologies by offering data-driven insights into effective practices. This capability arises from AI's ability to analyze vast amounts of educational data, which helps educators understand what strategies and techniques work best for different student populations. For instance, AI systems can evaluate student performance metrics, identify learning patterns, and provide recommendations tailored to individual or group needs.

These insights enable teachers to refine their instructional strategies by leveraging evidence-based approaches that enhance student engagement and learning outcomes. By focusing on what the data reveals about student needs, educators can adapt their teaching methods, differentiate instruction, and implement targeted interventions.

The other options do not accurately capture the beneficial role of AI in education, as they suggest limitations or negatives that are not inherent to AI's purpose or function in teaching. Thus, the correct choice reflects AI's potential to empower educators rather than constrain them.