A Study on Effectiveness of LLM-Based Study Assistants for Commerce Students

This study examines the effectiveness of Large Language Model (LLM)-based study assistants in supporting the learning process of commerce students.With the rapid development of Artificial Intelligence in education, tools such as ChatGPT, Google Gemini, and similar AI-powered platforms are increasingly being used by students for academic assistance.The study aims to analyze the level of awareness, usage patterns, and perceived academic impact of these tools among commerce students.Primary data were collected from 115 B.Com students in Coimbatore district using a structured questionnaire and analyzed through descriptive statistical methods.The findings reveal that a significant proportion of students use multiple LLM tools for purposes such as concept clarification, assignment preparation, and exam revision.Most respondents reported that these tools help save study time and improve understanding of commerce subjects, particularly Business Economics and Financial Accounting.The results also indicate a growing preference for AI-assisted learning models compared to traditional learning methods.Additionally, many students reported improved classroom participation and overall satisfaction with LLM-based learning support.However, concerns regarding overdependence, accuracy of information, and potential impacts on critical thinking were also identified.The study concludes that LLMbased study assistants can serve as effective supplementary learning tools when used responsibly and in combination with traditional learning methods.Proper guidance from educational institutions and faculty members is essential to ensure ethical and balanced use of AI technologies in education.