The future of learning: Artificial Intelligence companion to intelligent learning

Abstract

The purpose of this scientific article was the creation of a supervised algorithm to categorize districts based on the frequency Artificial Intelligence transforms education through personalization, access to global resources, efficiency and advanced analysis. Educational modernization is vital; innovative schools are adopting digital technologies, investing in attractive tools and training teachers in technology to motivate students. On the other hand, the evaluation system is a very complex process and therefore often requires readjustment in educational institutions. Where evaluation is possibly confused with qualifying for conceptual ignorance. Recording a grade or note is not an evaluative procedure; but this will be a very easy way to measure something. Learning determines a crucial aspect for mental and behavioral development, acquired through experiences and psychological studies. Fundamental to personal and professional growth, it influences well-being, determines the future and provides key skills for job success and improving the quality of life. Although attempts are being made to change educational evaluation to a more comprehensive approach, the requirement to approve and comply with thematic content is being hidden, and the influence of traditional norms and the need for approval persist, affecting the teaching profession.