Artificial Intelligence in Higher Education: Enhancing, Teaching and Learning through Adaptive Technologies
Abstract
Artificial Intelligence (AI) is moving the higher education from state to another state by using private, data-driven, and measured learning involvements. This paper discusses the combination of AI essentially usual technologies into the university level of education. It studies the function of intelligent teaching systems, virtual assistants of teaching, and adaptive programs of learning in developing the engagement of student, academic attitude, and instructive adequacy. Although the advances of AI in the higher education system are important, such as enlarged accessibility and tailored education ways, these benefits also show the ethical sides such as information secrecy, algorithmic alignment, and the changeful turn of human teachers. Depending on the recent studies, this article discusses that reliable selection of AI needs institutional aid, faculty practice, and powerful schema structures. Finally, AI has the ability to aid more universal and active educational environments when performed with impressionability, equity, and educational notion.
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