PhD student, Saint Petersburg State University, Russia, Saint-Petersburg, st085687@student.spbu.ru
The paper highlights prompt engineering in academic setting to reduce plagiarism and increase students' interest. The research problem is the lack of a unified meth-odology for using artificial intelligence in education. The paper aims to create a gen-erative artificial intelligence user interface, the Virtual Teaching Assistant. Teachers were interviewed, the first collection of presets for prompt engineering in an aca-demic environment was developed, and a virtual assistant interface was created. The qualitative analysis revealed that educators are interested in applying large language models to developing assessment materials, adapting learning content for providing accessibility, and creating education illustrations. However, the study identified challenges, including hallucinations in generated content and the risk of plagiarism. The study resulted in the development of a virtual teaching assistant interface with features such as prompt presets, custom guardrails, and plagiarism detection. The prompt presets are simplified templates for generating assignments, quizzes, and educational materials. Guardrails are safety controls that ensure ethical and inclusive content generation. Plagiarism checker is a function that detects AI-generated con-tent through analyzing students’ submissions using neural network weights.
prompt engineering; generative artificial intelligence; virtual assistant; educational technologies; teaching methodology.
Download textFor citing: Firsanova V.I. (2025) The development of an interface for teaching virtual assistant based on function-calling and prompt engineering technologies. Human being: Image and essence. Humanitarian aspects. Moscow. INION RAN.Vol. 2 (62). pp. 203-214. DOI: 10.31249/chel/2025.02.12