Artificial intelligence (AI) is increasingly reshaping the educational landscape in the digital age, offering new avenues for inclusivity, equity, and innovation. This research investigates AI's transformative potential in education, employing a qualitative and multilateral methodology that integrates theoretical analysis with empirical evidence. The study highlights AI's ability to personalize learning by adapting content to individual needs, thereby enhancing student engagement and academic success. Moreover, AI technologies provide flexible learning modalities that improve accessibility for diverse learners, including those with disabilities and from underserved communities. In addition to benefiting students, AI empowers educators by delivering data-driven insights that inform teaching practices, enabling more effective and personalized instruction. However, the integration of AI into education raises critical ethical concerns, particularly regarding data privacy, algorithmic bias, and the potential for reinforcing existing inequalities. The research underscores the importance of a balanced approach to AI implementation, emphasizing the need for robust ethical safeguards. The study concludes by calling for further research and interdisciplinary collaboration among educators, technologists, and policymakers to ensure the responsible integration of AI in education. By doing so, AI can contribute to a more equitable, inclusive, and innovative educational system in the digital era.

Revolutionize, Education, Digital Era

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