EFFECTIVE METHODS FOR IMPLEMENTING ARTIFICIAL INTELLIGENCE (AI) IN ENHANCING TEACHER EXPERTISE IN LEARNING

SYSTEMATIC LITERATURE REVIEW

Abstract

This study investigates the integration of artificial intelligence (AI) in education, focusing on its impact on learning processes, teaching methods, and evaluation systems. Utilizing a qualitative research approach through a systematic literature review, the research highlights how AI technologies have evolved from basic computer systems to sophisticated web-based platforms and intelligent tutoring systems. AI's capabilities include mimicking human cognitive functions such as learning and decision-making, which have been increasingly adopted by educational institutions. These technologies enhance teaching efficiency by automating administrative tasks like grading and attendance tracking, allowing educators to concentrate on more complex instructional duties. Furthermore, AI facilitates personalized learning experiences by analyzing individual student data to tailor educational content according to their unique strengths and weaknesses. The findings indicate that AI not only improves the quality of education but also enriches the overall learning experience by fostering greater student engagement and retention of knowledge. As AI continues to develop, its role in education is expected to expand, providing innovative solutions that cater to diverse learning needs and enhancing the effectiveness of teaching methodologies, thereby underscoring its transformative potential in shaping future educational practices