Development of the two-side matching algorithm for improving the quality of student’s allocation to thesis advisors

Autor: Dmitriy Lagerev, Ekaterina Antyukhova
Rok vydání: 2020
Předmět:
Zdroj: CPT2020 The 8th International Scientific Conference on Computing in Physics and Technology Proceedings.
DOI: 10.30987/conferencearticle_5fd755bfad6a40.89614181
Popis: The article considers the problem of students allocation to thesis advisors, provides the result of the experimental approbation of student’s allocation approach based on two-side matching algorithm that has been performed by using automated student’s allocation system, and result of requirements management, which had taken place after performance testing. The article analysing user’s requirements of changing allocation method replacing tutors with thesis projects embedded into tutor-project hierarchy, in terms of development feasibility and possibility. Mathematics model modifications for the approach to allocating students according to the two-side matching algorithm integrated with new model components is suggested below in the text of the article. The algorithmic and conceptual problems of such changes are pointed out along with solution for overcoming. In the general case, two-side matching model as well as presented modification might be used not only in case of educational and methodical activity aimed at creating mappings lists of students and thesis advisors of a department of a higher educational institution, but also regarding other production and service area, which faces with the problem of limited countable resource distribution to consumers with no outright antagonism.
Databáze: OpenAIRE