Personalizing Learning Pathways Through Standards-Based AI

Artificial Intelligence (AI) is transforming education through adaptive platforms, intelligent tutoring, predictive analytics, and generative feedback, enabling personalization at scale. While these tools can enhance engagement, retention, and teaching efficiency, they also raise ethical, technical, and social concerns, including bias, privacy, and learner autonomy. This chapter explores how technical, ethical, and educational standards can guide responsible AI personalization. It examines frameworks for ensuring transparency, equity, and pedagogical alignment while balancing innovation with oversight. By integrating established and emerging standards, the chapter offers practical foundations for building trustworthy personalized learning ecosystems that expand educational opportunities while safeguarding fairness, accountability, and individual dignity.