Development Approach of Formation of Individual Educational Trajectories Based on Neural Network Prediction of Student Learning Outcomes

  • Veronika V. Zaporozhko
  • Denis I. ParfenovEmail author
  • Vladimir M. Shardakov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1126)


The study proposed a neural network approach to solving the problem of predicting the results of mastering the educational programs of online learning. The need for prediction is an important component of the decision support system for the intelligent management of the educational process. The proposed approach allows you to make a learning outcomes prediction of the for each student and, if necessary, to dynamically adjust its educational trajectory promptly. The results of the computational experiment to solve the problem of predicting the outcome based on the input data using a multilayer perceptron are presented. The research materials can be used in the design and creation of information systems in which the personalization of the learning process and the automation of the formation process of individual educational trajectories are provided.


Neural network technologies Artificial neural network Supervised learning Prediction Online learning Automated learning Individual educational trajectory 



The research was conducted with the support of the Russian Foundation for Basic Research (project no. 18-37-00400, 19-47-560011).


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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Veronika V. Zaporozhko
    • 1
  • Denis I. Parfenov
    • 1
    Email author
  • Vladimir M. Shardakov
    • 1
  1. 1.Orenburg State UniversityOrenburgRussian Federation

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