STUDENTS SHOULD USE ARTIFICIAL INTELLIGENCE IN EDUCATION OR RELY ON TRADITIONAL LEARNING

Abstract

 This article examines whether students should use Artificial Intelligence in education or rely primarily on traditional learning, based on systematic classroom observations conducted by the author. By closely monitoring students’ learning behaviors, task completion patterns, and engagement levels, the study explores how AI tools influence understanding, creativity, independence, and critical thinking. The paper compares AI-supported learning with conventional methods such as textbooks, note-taking, and face-to-face discussion. Observations reveal that while AI increases access to information, speeds up task performance, and supports personalized learning, it can also reduce deep thinking and originality when overused. The article highlights the importance of balanced integration, where AI serves as a supportive assistant rather than a replacement for cognitive effort. Practical classroom examples demonstrate how guided AI use can enhance learning outcomes without undermining fundamental academic skills. The study concludes that the most effective educational approach combines the strengths of AI technologies with the proven benefits of traditional learning practices.