IDEAS home Printed from https://ideas.repec.org/a/cxt/phelrj/v3y2023i2p103-111.html

Effectiveness of open education in the lifelong learning system

Author

Listed:
  • Kateryna Onopriienko
  • Tetyana Vasylieva
  • Salmane Bourekkadi
  • Robert Rehak
  • Nadiia Artyukhova

Abstract

Today, open education plays an important role in the lifelong education system. It is open education that gives adults the opportunity to study in the time available to them and receive formal and informal education. Open adult education is not only a tool for personal development, but also an important element of social progress, democracy and building a society, as well as a transforming economy. Ensuring access to quality adult education is essential for achieving sustainable economic development of the country and ensuring a decent quality of life for all citizens. Open education creates opportunities for adults to learn throughout their lives, which helps them change careers, increase their qualifications and keep up-to-date in today’s world. Countries with a high level of education of the population have advantages in high-tech industries, which helps to stimulate economic development and attract investment. Skills acquired through open education help adults find better jobs or increase their competitiveness in the labor market. Ensuring access to education for all sections of society helps reduce social disparities and ensure equal opportunities for all. As an innovative phenomenon, open education promotes the development of critical thinking and analytical skills, which allows adults to be more informed citizens and make informed choices. The opportunity to learn and develop helps adults realize their potential, find exciting new interests and achieve personal growth. Acquiring new knowledge and skills helps increase life satisfaction, improves well-being and psychological state, which affects the social indicators of countries. Adults with fresh knowledge and approaches can create new ideas, develop innovative projects and make a significant contribution to social progress. This article is devoted to determining the place of open education in the general system of lifelong education system and analyzing its effectiveness in Ukraine and some European countries. It was established that open education is the tool that gives adults the opportunity to acquire knowledge outside educational institutions and during extracurricular time, and also open education is a driver of human development as an employee, i.e. a part of the labor market and as a result stimulates the development of the country’s economy

Suggested Citation

  • Kateryna Onopriienko & Tetyana Vasylieva & Salmane Bourekkadi & Robert Rehak & Nadiia Artyukhova, 2023. "Effectiveness of open education in the lifelong learning system," Philosophy, Economics and Law Review Articles, Philosophy, Economics and Law Review, vol. 3(2), pages 103-111, December.
  • Handle: RePEc:cxt:phelrj:v:3:y:2023:i:2:p:103-111
    DOI: https://doi.org/10.31733/2786-491X-2023-2-103-111
    as

    Download full text from publisher

    File URL: https://phelr.com.ua/web/uploads/pdf/article_ONOPRIIENKO+.pdf
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.31733/2786-491X-2023-2-103-111?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kung-Jeng Wang & Diwanda Ageng Rizqi & Hong-Phuc Nguyen, 2021. "Skill transfer support model based on deep learning," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1129-1146, April.
    2. Kun Wang & Christopher W. Johnson & Kane C. Bennett & Paul A. Johnson, 2021. "Predicting fault slip via transfer learning," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Habibi, Mahyar & Hovy, Dirk & Schwarz, Carlo, 2026. "The Content Moderators Dilemma: Removal of Toxic Content and Distortions to Online Discourse," CAGE Online Working Paper Series 793, Competitive Advantage in the Global Economy (CAGE).
    2. Gou, Liangjie & Yang, Zhaozhong & Min, Chao & Yi, Duo & Li, Xiaogang & Kong, Bing, 2024. "A novel domain adaptation method with physical constraints for shale gas production forecasting," Applied Energy, Elsevier, vol. 371(C).
    3. Li, Dan & Li, Yijun & Wang, Chaoqun & Chen, Min & Wu, Qi, 2023. "Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks," Applied Energy, Elsevier, vol. 331(C).
    4. Mahyar Habibi & Dirk Hovy & Carlo Rasmus Schwarz, 2026. "The Content Moderator's Dilemma: Removal of Toxic Content and Distortions to Online Discourse," CESifo Working Paper Series 12521, CESifo.
    5. Gross, Ronit D. & Halevi, Tal & Koresh, Ella & Tzach, Yarden & Kanter, Ido, 2025. "Low-latency vision transformers via large-scale multi-head attention," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 675(C).
    6. Christopher W. Johnson & Kun Wang & Paul A. Johnson, 2025. "Automatic speech recognition predicts contemporaneous earthquake fault displacement," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
    7. Ajidarma, Praditya & Nof, Shimon Y., 2025. "Skill-and-Knowledge Sharing HUB-CI model for resilient production systems," International Journal of Production Economics, Elsevier, vol. 287(C).
    8. Tan Ching Ng & Sie Yee Lau & Morteza Ghobakhloo & Masood Fathi & Meng Suan Liang, 2022. "The Application of Industry 4.0 Technological Constituents for Sustainable Manufacturing: A Content-Centric Review," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    9. Boyuan Gou & Yan Chen & Songhua Xu & Jun Sun & Turab Lookman & Ekhard K. H. Salje & Xiangdong Ding, 2025. "Detecting deformation mechanisms of metals from acoustic emission signals through knowledge-driven unsupervised learning," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
    10. Reiju Norisugi & Yoshihiro Kaneko & Bertrand Rouet-Leduc, 2025. "Machine learning predicts meter-scale laboratory earthquakes," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
    11. Prabhav Borate & Jacques Rivière & Chris Marone & Ankur Mali & Daniel Kifer & Parisa Shokouhi, 2023. "Using a physics-informed neural network and fault zone acoustic monitoring to predict lab earthquakes," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    12. Md. Al-Amin & Ruwen Qin & Md Moniruzzaman & Zhaozheng Yin & Wenjin Tao & Ming C. Leu, 2023. "An individualized system of skeletal data-based CNN classifiers for action recognition in manufacturing assembly," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 633-649, February.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cxt:phelrj:v:3:y:2023:i:2:p:103-111. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Philosophy, Economics and Law Review (email available below). General contact details of provider: https://phelr.com.ua/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.