This chapter focuses on evaluating the impact of artificial intelligence (AI) on educational outcomes, emphasizing methods for assessing the effectiveness and equity of AI-driven tools in learning environments. It explores key metrics and frameworks used to measure AI’s influence on student engagement, performance, and personalized learning. The chapter also examines how AI technologies can support data-driven decision-making for educators and policymakers while addressing potential challenges such as bias, accessibility, and scalability. Through practical examples and case studies, this chapter provides strategies for ensuring that AI implementations enhance learning outcomes and foster equity across diverse educational contexts.