Mind Meets Machine: The Role of LLMs in Shaping Modern Education

Large Language Models (LLMs) like ChatGPT, Gemini, and Claude are transforming teaching and learning practices worldwide. These AI systems can generate human-like text, assist in assignments, support research, and produce learning materials. The adoption of LLMs is rapidly increasing among students and teachers, offering numerous advantages such as increased efficiency, personalized learning, and improved understanding. However, LLMs also present certain challenges such as accuracy issues, misinformation, plagiarism risks, reduced creativity, and over-dependence. Thus, understanding the perceptions of both students and teachers is essential for integrating LLMs responsibly into the education system. This study examines data from 100 students and 100 teachers collected through structured questionnaires. The findings show that students commonly use LLMs for research, writing assignments, coding help, and presentations, whereas teachers primarily use them for idea generation, content development, coding assistance, and personalizing instruction. Both groups express mixed views regarding accuracy and ethical use. The study concludes that LLMs can significantly enhance education when used with proper guidelines and AI literacy. Recommendations include institutional policies, training programs, and curriculum integration. The study contributes to a balanced understanding of LLM use in academic settings.