The rapid integration of AI in education offers transformative opportunities but raises crucial concerns about the security and privacy of student data. This paper examines the international landscape of personal data security in AI-powered educational tools, highlighting key challenges and emerging solutions. We analyze the current regulatory frameworks and policies in major regions like the EU, US, China, Canada, and India, highlighting both strengths and limitations. The paper then delves into emerging solutions including data minimization techniques, enhanced transparency and control, ethical guidelines, education and awareness campaigns, and international cooperation. By addressing the identified challenges through a multi-faceted approach, we can foster the ethical and responsible use of AI in education, ensuring student data privacy and fostering a more equitable learning environment.