Methods of intelligent results ranking for the intermediate assessment of knowledge in mathematical disciplines
Year: 2021
Type: conference-paper
Abstract: We are developing methods of intelligent ranking of results for the intermediate assessment of knowledge on mathematical disciplines within the framework of a hybrid intelligent learning environment functioning. An extended structural diagram of a hybrid intelligent learning environment is presented and the methodology of forming a knowledge base is characterized. The study of new models of the pedagogical process is carried out using intelligent technologies. Clustering problems are solved and algorithms for analyzing test results based on the use of machine learning methods are proposed. The results of the proposed algorithms implementation are presented. The results of this study are of practical importance both for the development of methods for assessing knowledge in mathematical disciplines, and for identifying the abilities of students to research activities.
Authors: O N Masina, A A Petrov, O V Druzhinina, S V Shcherbatykh
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W3195285032