Applied Sciences, Vol. 14, Pages 9125: Automated Test Creation Using Large Language Models: A Practical Application

Applied Sciences, Vol. 14, Pages 9125: Automated Test Creation Using Large Language Models: A Practical Application

Applied Sciences doi: 10.3390/app14199125

Authors: Stanka Hadzhikoleva Todor Rachovski Ivan Ivanov Emil Hadzhikolev Georgi Dimitrov

The article presents work on developing a software application for test creation using artificial intelligence and large language models. Its main goal is to optimize the educators’ work by automating the process of test generation and evaluation, with the tests being stored for subsequent analysis and use. The application can generate test questions based on specified criteria such as difficulty level, Bloom’s taxonomy level, question type, style and format, feedback inclusion, and more, thereby providing opportunities to enhance the adaptability and efficiency of the learning process. It is developed on the Google Firebase platform, utilizing the ChatGPT API, and also incorporates cloud computing to ensure scalability and data reliability.