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DOI: 10.14569/IJACSA.2025.0160833
PDF

Analysis of the Possibilities of Using LLM Chatbots for Solving Course and Exam Tasks

Author 1: Svetlana Stefanova
Author 2: Yordan Kalmukov

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 8, 2025.

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Abstract: With the widespread introduction of new technologies and, in particular, AI in various areas of life, students are increasingly using large language models (LLMs) such as ChatGPT and other similar tools to help them with their academic tasks. By using them, they can improve their productivity, improve their understanding of complex topics, and support their academic work. LLMs are used both in research, information gathering and preparation for exams and tests, as well as for generating ideas, creating code, and more. This study explores the possibility of using ChatGPT, Claude and DeepSeek for solving course and exam tasks. The results of the analysis could serve as a warning signal and motivation for future transformation of student testing and assessment methods. The ability to use AI systems to search, analyze, and summarize large volumes of information should shift the focus of assessment from classical fact-finding and practical performance of elementary tasks to creativity, combinability, and skills for adapting and applying the already gained knowledge.

Keywords: Large language models (LLM); artificial intelligence (AI); ChatGPT; Claude AI; DeepSeek; AI in education; AI for solving exams

Svetlana Stefanova and Yordan Kalmukov. “Analysis of the Possibilities of Using LLM Chatbots for Solving Course and Exam Tasks”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.8 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0160833

@article{Stefanova2025,
title = {Analysis of the Possibilities of Using LLM Chatbots for Solving Course and Exam Tasks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160833},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160833},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {8},
author = {Svetlana Stefanova and Yordan Kalmukov}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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