GENERATION AND VERIFICATION OF ASSIGNMENTS FOR LABORATORY WORK WITH OPTIONS FOR IT-CYCLE ACADEMIC DISCIPLINES USING LARGE LANGUAGE MODELS
TL;DR
An algorithm and a prototype software system based on large language models are proposed to automate the creation and verification of unique assignments for laboratory work in information technology disciplines and makes it possible to significantly reduce instructors' time expenditure while preserving pedagogical control over the content of the educational process.
Abstract
An algorithm and a prototype software system based on large language models are proposed to automate the creation and verification of unique assignments for laboratory work in information technology disciplines. The solution is based on a three-agent pipeline that provides the generation of a reference master assignment, parametric variation of unique task instances, complexity control, and automatic error correction. An evaluation of the efficiency and correctness of the proposed solution was carried out. The testing results confirmed the high quality of the generated laboratory assignments and compliance with the requirements for the uniqueness of task variants. It was noted that the proposed solution makes it possible to significantly reduce instructors' time expenditure while preserving pedagogical control over the content of the educational process