Abstract:
Initially resorting to the analysis of scientific literature from various fields related to the educational sciences, such as educational management, docimology, and assessment theory, as well as the fields of development of program products and artificial intelligence, during her work the author presents a set of prototypes of AI functionalities to be integrated into various learning-teaching-assessment-self-assessment platforms to the potentially interested parties. The respective functionalities, being partially equipped with AI, allow all kind of users, including the teaching staff and students of any age category, curricular area, and/or level of studies, to interact with the assessment subjects while also benefiting from a series of advantages that satisfy the requirements of educational management for the students' sample administration during the didactic assessments, as well as during the inter- and/or post-assessment period.