The future of database interfaces is poised for transformation through the integration of AI techniques. With a focus on intentional data retrieval and proactive query assistance, intelligent databases will revolutionize information management. Addressing challenges like the view update problem, these systems will offer versatile, user-friendly interfaces catering to diverse user needs. By leveraging AI-driven innovations, databases will become intuitive, adaptable tools, empowering users to derive deeper insights and make informed decisions. As interdisciplinary collaboration drives advancements, the evolution of database interfaces promises to reshape the way we interact with and harness the power of data.

The comprehensive review of artificial intelligence in education (AIEd) research offers valuable insights for educators, technology creators, researchers, and policymakers alike. It underscores the importance of interdisciplinary collaboration, methodological rigor, and ethical considerations in advancing AIEd. Educators can leverage AI technologies for personalized instruction, while technology creators should prioritize user-centric design and partnerships with educational institutions. Researchers must conduct longitudinal studies and address ethical dilemmas, while policymakers should foster an enabling environment for responsible AIEd adoption. Together, these efforts can drive innovation and create equitable, learner-centered educational environments empowered by AI technologies.