The Classification Module Intended to Be Used in The Didactic Assessment

The paper's purpose is to describe a modular component of a complex system capable of generating didactic assessment test items with a pronounced adaptive character. The respective component has a potential for integration into various Learning Management Systems (LMS) platforms, such as Moodle, and could be exploited by a wide range of users: from teachers and students enrolled in various forms and/or levels of education to LMS platform administrators and LMS systems’ developers, accessible in open-source and/or commercial formats. From a technical perspective, the component represents a classifier that turns out to be a fragment of a program product that interacts with the database, but especially with the LMS system question bank, created by the course developer, in order to satisfy the functionalities of the software product in question. The developed classification module was designed to operate based on labels created through artificial intelligence (AI) and machine learning (ML). Thanks to the aspects specified at the implementation level, AI and ML, these bring the respective classifier into the category of supervised learning program products. Aligning with national and international trends regarding the educational system's digitalization, this paper falls into fields such as applied computer science, software engineering, and artificial intelligence.