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Management and leadership in online learning

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Abstract

Leadership is one of the skills necessary for the career of future health professionals. The purpose of this study is to get an insight into developing leadership skills in online learning as well as ways to deal with various management issues. The methods used in this study include a survey, quantitative and qualitative analysis, and statistical data processing. The research conducted among medical students suggests that a leader is identified by behavioral, cognitive personality traits, and physical qualities. Online learning creates an inclusive environment, as well as directly prepares the ground for gaining leadership. Such format of learning reduces society’s pressure regarding the molding of personality. The implications of the study are based on the development of tools for addressing leadership and management issues in online learning. It aims to demonstrate the benefits of online learning and show facets of leadership that are worth paying attention to.

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Authors and Affiliations

  1. Department of Algebra and Geometry, L.N. Gumilev Eurasian National University, Nur-Sultan, Republic of Kazakhstan

    Abdygali Jandigulov

  2. Department of Computer and Data Science, Astana IT University, Astana, Republic of Kazakhstan

    Abdygali Jandigulov

  3. College of Education, Department of Foundation of Education, United Arab Emirates University, Al-Ain, United Arab Emirates

    Asma Khaleel Abdallah

  4. Department of Organization and Economics of Pharmacy, I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation

    Yuliya Tikhonova

  5. Department of Biology and General Genetics, I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation

    Elena Gorozhanina

Authors
  1. Abdygali Jandigulov
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  2. Asma Khaleel Abdallah
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  3. Yuliya Tikhonova
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  4. Elena Gorozhanina
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Correspondence to Abdygali Jandigulov.

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Jandigulov, A., Abdallah, A.K., Tikhonova, Y. et al. Management and leadership in online learning. Educ Inf Technol 28, 13423–13437 (2023). https://doi.org/10.1007/s10639-023-11699-4

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