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Applying Ant Colony Optimisation When Choosing an Individual Learning Trajectory

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Networks and Systems in Cybernetics (CSOC 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 723))

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Abstract

The effectiveness of learning depends in many ways on the organization of the educational process. These days, the educational environment is becoming more flexible and responsive to the needs of students. The traditional form of learning is expanding through the use of new approaches and teaching methods, learning systems, and information technology. Individual learning trajectory allows the learner to regulate the order of studying course modules and the pace of mastering the subject material. Decision-making in choosing the learning trajectory can be supported by specialized methods and tools. This paper proposes the use of ant colony optimisation to support decision making on the choice of an individual learning trajectory. #CSOC1120.

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Author information

Authors and Affiliations

  1. Zayed University, Abu Dhabi, United Arab Emirates

    Rukiya Deetjen-Ruiz

  2. Siberian Federal University, Krasnoyarsk, Russia

    Oleg Ikonnikov

  3. Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Oleg Ikonnikov

  4. Universiti Sultan Zainal Abidin, Terengganu, Malaysia

    Shahzool Hazimin Azizam

  5. Almería University, Almería, Spain

    Darío Salguero García

  6. Universidad Privada del Norte, Lima, Perú

    Juan Carlos Orosco Gavilán

  7. Tyumen State University, Tyumen, Russia

    Ivan Otcheskiy

  8. MIREA - Russian Technological University (RTU MIREA), Moscow, Russia

    Roman Tsarev

  9. Bauman Moscow State Technical University, Moscow, Russia

    Roman Tsarev

Authors
  1. Rukiya Deetjen-Ruiz
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  2. Oleg Ikonnikov
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  3. Shahzool Hazimin Azizam
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  4. Darío Salguero García
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  5. Juan Carlos Orosco Gavilán
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  6. Ivan Otcheskiy
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  7. Roman Tsarev
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Corresponding author

Correspondence to Rukiya Deetjen-Ruiz .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Petr Silhavy

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Deetjen-Ruiz, R. et al. (2023). Applying Ant Colony Optimisation When Choosing an Individual Learning Trajectory. In: Silhavy, R., Silhavy, P. (eds) Networks and Systems in Cybernetics. CSOC 2023. Lecture Notes in Networks and Systems, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-031-35317-8_53

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