Considerable progress has been mainly made on artificial intelligence technology when it is even fully used in education. Innovations already in development such as multimodal learning analysis and recognition of emotional expression will only allow the pursuit of better learning environments. The improvement should achieve more than 35% a gain in learning efficiency in the coming years, according to researchers in new generation AI platforms. These improvements will continue to create a future of educational availability and, even more, of absolute personalization to the specific needs of each student.
Adaptive evaluation tools have made it possible to considerably modify the context by which teachers refer to progress between students: standardized tests to a more continuous dynamic assessment. Visual liveliness through virtual reality based on AI will open abstract ideas in concrete forms. It will also be delivered by AI mentorship systems all day and every day, addressing specific learning styles of students at the time when a human instructor is not available. This new technology will allow everyone around the world to be democratized in the quality of education and with regard to the various needs of individuals in learning.
The adaptability, commitment and efficiency of learning are the next levels of education that AI propels. By providing intelligent tutoring systems, a delivery of intelligent content and adaptive evaluation capacities for AI, older gaps are repaired to an inclusive educational environment. The study of Satheesh Kumar Nendrambaka mentioned that the most remarkable opportunities are anchored in the very application of AI in education, where students acquire support to prosper in an emerging digital landscape.

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