А Personalized Ranking Model for Online Educational Courses for Users
https://doi.org/10.25205/2542-0429-2024-24-2-85-98
Abstract
Due to the large volume of supply on the EdTech market and the undeveloped culture of choosing online courses, platforms are emerging in the Internet space that aggregate information about online products, and thereby help the user with the choice. Such aggregators are not without drawbacks: they offer ready-made ratings, but with an incomprehensible ranking methodology; they recommend comparing or ranking courses based on a small set of characteristics; they provide unreliable information about online educational products. This work demonstrates the model of ranking online courses for users developed by the authors, the advantages of which are transparency of the toolkit, an expanded set of characteristics, as well as a personal approach to each user. The practical significance of the work lies in the fact that the methodology, if used by an online course aggregator, will help users make more rational decisions when choosing educational products.
About the Authors
V. S. Lebedenko
Novosibirsk State University
Russian Federation
Russian Federation
Vyacheslav S. Lebedenko - student, Novosibirsk State University.
Novosibirsk
S. S. Donetskaya
Novosibirsk State University
Russian Federation
Russian Federation
Svetlana S. Donetskaya - Doctor of Economics, Professor Faculty of Economics, Novosibirsk State University.
Novosibirsk
Author ID 313761, Scopus Author ID 57207449790
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Review
For citations:
Lebedenko V.S., Donetskaya S.S. А Personalized Ranking Model for Online Educational Courses for Users. World of Economics and Management. 2024;24(2):85-98. (In Russ.) https://doi.org/10.25205/2542-0429-2024-24-2-85-98
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