ARTIFICIAL INTELLIGENCE IN CURRENT TEACHING-LEARNING PROCESS

Abstract

Artificial Intelligence (AI) has emerged as a disruptive force in the perspective of education, emphasizing both the learning experience for students and the roles of educators. This abstract explores the multifaceted impact of AI in education and teaching-learning process, mentioning into personalized learning, adaptive assessments, administrative support and the ethical considerations associated with this technological evolution. AI’s most profound impact lies in its ability to facilitated personalized learning experiences. AI algorithms tailor educational content to improve the diverse learning styles and methods. This adaptability ensures that each student receives a customized educational journey, optimizing comprehension and engagement. The implementation of AI-powered adaptive assessments marks a significant departure from traditional evaluation methods to updated one. These assessments dynamically adjust difficulty levels based on student performance, providing real-time feedback and a more accurate understanding. This is not only enhancing the process but also identifies areas where additional support may be required. AI helps in administrative tasks for teachers, automating functions such as grading, attendance tracking and scheduling. This automation not only reduces the administrative burden on educators but also allows them to redirect their time and energy towards more interactive and creative aspects of teaching. AI plays an important role in shaping teacher professional development. Personalized training programs, guided by AI insights, aid educators in evolving pedagogical approaches and technological advancements. This ongoing support helps teacher to enhance their skills and adapt to the changing educational landscape.