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Learning is an integral and often labor-intensive part of any person’s life activity. University education is primarily aimed at training a highly qualified specialist. However, due to a number of reasons, students may have difficulties in learning, which can lead to expulsion from the university. In today’s educational landscape, it becomes an essential issue to identify students who are at such a risk zone in order to provide them with the necessary and timely support. In this paper, we consider the application of logistic regression to predict student dropout at early stages. Based on the statistics collected, a model is developed that allows after some time from the beginning of the semester to calculate the probability that a student will be expelled. This indicator allows the teacher to pay special attention to the underperforming students and direct his efforts to increase their motivation, provide them with suitable study material and other assistance to avoid expulsion of these students due to their failure. #COMESYSO1120.

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Logistic Regression on Guard of Students’ Academic Performance

  • 会议论文

  • 发表日期：

    2025年

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  • Hoang Phuong Nguyen,
  • Ivana Roncevic,
  • Elena Denisova,
  • Maria Anatolyevna Ivanova,
  • Igor Fedorchenko,
  • Natalja Muracova,
  • Roman Tsarev

摘要

Learning is an integral and often labor-intensive part of any person’s life activity. University education is primarily aimed at training a highly qualified specialist. However, due to a number of reasons, students may have difficulties in learning, which can lead to expulsion from the university. In today’s educational landscape, it becomes an essential issue to identify students who are at such a risk zone in order to provide them with the necessary and timely support. In this paper, we consider the application of logistic regression to predict student dropout at early stages. Based on the statistics collected, a model is developed that allows after some time from the beginning of the semester to calculate the probability that a student will be expelled. This indicator allows the teacher to pay special attention to the underperforming students and direct his efforts to increase their motivation, provide them with suitable study material and other assistance to avoid expulsion of these students due to their failure. #COMESYSO1120.