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Use of artificial intelligence technologies for building individual educational trajectories of students
- Authors: Kupriyanov R.B.1, Agranat D.L.1, Suleymanov R.S.1
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Affiliations:
- Moscow City University
- Issue: Vol 18, No 1 (2021)
- Pages: 27-35
- Section: DIDUCTIC ASPECTS OF EDUCATION INFORMATIZATION
- URL: https://journals.rudn.ru/informatization-education/article/view/26277
- DOI: https://doi.org/10.22363/2312-8631-2021-18-1-27-35
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Abstract
Problem and goal. Developed and tested solutions for building individual educational trajectories of students, focused on improving the educational process by forming a personalized set of recommendations from the optional disciplines. Methodology. Data mining and machine learning methods were used to process both numeric and textual data. The approaches based on collaborative and content filtering to generate recommendations for students were also used. Results. Testing of the developed system was carried out in the context of several periods of elective courses selection, in which 4,769 first- and second-year students took part. A set of recommendations was automatically generated for each student, and then the quality of the recommendations was evaluated based on the percentage of students who used these recommendations. According to the results of testing, the recommendations were used by 1,976 students, which was 41.43% of the total number of participants. Conclusion. In the study, a recommendation system was developed that performs automatic ranking of subjects of choice and forms a personalized set of recommendations for each student based on their interests for building individual educational trajectories.
About the authors
Roman B. Kupriyanov
Moscow City University
Author for correspondence.
Email: kupriyanovrb@mgpu.ru
Deputy Head of the Information Technology Department
4 2-j Selskohozyajstvennyj Proezd, Moscow, 129226, Russian FederationDmitry L. Agranat
Moscow City University
Email: agranat@mgpu.ru
Doctor of Social Sciences, Full Professor, Vice-Rector for Academic Affairs
4 2-j Selskohozyajstvennyj Proezd, Moscow, 129226, Russian FederationRuslan S. Suleymanov
Moscow City University
Email: sulejmanovrs@mgpu.ru
Head of the Information Technology Department
4 2-j Selskohozyajstvennyj Proezd, Moscow, 129226, Russian FederationReferences
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