Development of supervisorship system with tracking progress and the use of artificial intelligence

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dc.contributor.authorSerek Azamat
dc.date.accessioned2024-09-17T11:47:17Z
dc.date.available2024-09-17T11:47:17Z
dc.date.issued2024
dc.description.abstractThe Supervisorship service has been developed with the feature to match students to supervisors based on psychological perceptions through multidimensional analysis of matching algorithms and the feature to track students’ progress. This study explores the utilization of four distinct algorithms for the purpose of student-supervisor matching. A comprehensive evaluation of these algorithms is conducted, encompassing a variety of metrics including preference satisfaction, workload balance, time and space complexities, minimum and maximum workload, and compatibility scores which this work introduced.
dc.identifier.citationDevelopment of supervisorship system with tracking progress and the use of artificial intelligence / Serek Azamat / 8D06102 - Computer Science / Kaskelen, 2024
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/1534
dc.language.isoen
dc.publisherSDU University
dc.subjectSupervisorship service
dc.subjectalgorithms
dc.subjectK-Means
dc.subjectOne-to-Many Gale-Shapley
dc.subjectPHD dissertation
dc.titleDevelopment of supervisorship system with tracking progress and the use of artificial intelligence

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