devterРазвитие территорийTerritory Development2412-8945Сибирский институт управленияVUGPPLdevter-724Research ArticleНАУЧНЫЙ ПОИСК И ПРЕДЛОЖЕНИЯSCIENTIFIC SEARCH AND OFFERSОценка сложности курсов и успеваемости обучающихся посредством байесовских сетейAssessing course difficulty and student performance using bayesian networksЕфремовЕ. В.EfremovE. V.

Егор Владимирович Ефремов, аспирант, стажер-исследователь

Новосибирск

Egor V. Efremov, Postgraduate Student, Research Intern

Novosibirsk

e.efremov@g.nsu.ruЛогачевА. В.LogachevA. V.

Артем Васильевич Логачев, кандидат физико-математических наук, доцент, старший научный сотрудник

Новосибирск

Artem V. Logachev, Candidate of Sciences (Physics and Mathematics), Associate Professor, Senior Research Fellow

Novosibirsk

omboldovskaya@mail.ruНикитинаВ. И.NikitinaV. I.

Виталина Игоревна Никитина, аспирант, стажер-исследователь

Новосибирск

Vitalina I. Nikitina, Postgraduate Student, Research Intern

Novosibirsk

v.nikitina1@g.nsu.ruПрокопенкоЕ. И.ProkopenkoE. I.

Евгений Игоревич Прокопенко, кандидат физико-математических наук, доцент, старший научный сотрудник

Новосибирск

Evgeny I. Prokopenko, Candidate of Sciences (Physics and Mathematics), Associate Professor, Senior Researcher

Novosibirsk

prokopenko@math.nsc.ruТокареваМ. Д.TokarevaM. D.

Мария Дмитриевна Токарева, младший специалист

Новосибирск

Maria D. Tokareva, Junior Specialist

Novosibirsk

v.nikitina1@g.nsu.ruИнститут математики им. С. Л. Соболева СО РАНSobolev Institute of Mathematics, Siberian Branch of the Russian Academy of SciencesНовосибирский национальный исследовательский государственный университетNovosibirsk National Research State University20260606202602 (44)7894Copyright © Ефремов Е.В., Логачев А.В., Никитина В.И., Прокопенко Е.И., Токарева М.Д., 20262026Ефремов Е.В., Логачев А.В., Никитина В.И., Прокопенко Е.И., Токарева М.Д.Efremov E.V., Logachev A.V., Nikitina V.I., Prokopenko E.I., Tokareva M.D.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://devter.elpub.ru/jour/article/view/724

   В статье предлагается подход к совместной оценке сложности учебных курсов и успеваемости обучающихся на основе байесовских сетей. В отличие от традиционных методов, основанных исключительно на среднем балле или количестве зачетных единиц, данный подход учитывает как объективные, так и субъективные факторы, влияющие на уровень сложности курса и индивидуальные результаты студентов. Использование байесовских методов позволяет интегрировать априорную информацию (например, результаты вступительных испытаний или исторические данные по курсу) и обновлять оценки на основе наблюдаемых результатов обучения, обеспечивая прозрачность и интерпретируемость выводов. Метод не только способствует более справедливому ранжированию обучающихся с учетом сложности пройденных дисциплин, но и выявляет особенности преподавания, связанные с конкретными преподавателями или учебными заведениями, что может быть полезно для анализа качества образовательного процесса и его последующей оптимизации.

   This article proposes an approach to jointly assessing course difficulty and student performance based on Bayesian networks. Unlike traditional methods based solely on GPA or the number of credits, this approach takes into account both objective and subjective factors influencing course difficulty and individual student performance. Using Bayesian methods allows for the integration of prior information (e.g., placement test results or historical course data) and updating assessments based on observed learning outcomes, ensuring transparency and interpretability of findings. This method not only facilitates a more equitable ranking of students based on the difficulty of the courses they complete but also identifies teaching characteristics associated with specific instructors or educational institutions, which can be useful for analyzing the quality of the educational process and its subsequent optimization.

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The authors declare that there are no conflicts of interest present.