The rapid advancement of artificial intelligence, particularly in natural language processing and the development of advanced language models, has significantly impacted education. This paper explores the transformative potential of generative artificial intelligence in educational settings, highlighting its benefits such as enhancing teaching methodologies, personalized learning, and simplifying administrative processes. It also examines how these tools can support academic research by automating tasks such as literature reviews and paraphrasing. The study conducted within this paper aims to assess the potential of GPT models for optimizing student prompts in the Croatian language. The research focused on two key questions: whether a GPT model can be adapted to specific educational tasks and whether the process of prompt engineering in education can be automated. The evaluation of the results showed that GPT models can significantly improve the accuracy and relevance of responses, thereby enhancing the quality of interaction between students and AI tools. This paper contributes to a deeper understanding of the role of generative artificial intelligence in education and offers strategic guidelines for its ethical and effective implementation. By combining theoretical analysis and practical research, valuable insights are provided that can inform future development paths and support innovations aimed at more personalized and accessible educational experiences.