Skip to main content
SpringerLink
Log in

Adaptation and Personalization of Learning Management System, Oriented to Employees’ Role in Enterprise Context - Literature Review

  • Conference paper
  • First Online:
Technology and Innovation in Learning, Teaching and Education (TECH-EDU 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1720))

Abstract

In the digital age, the training in companies can be facilitated through a proper system to the company’s demand. A learning platform personalized to the profile of employees can facilitate the selection of training that tailored to their roles. This research aims to investigate the existence of adaptation and personalization of learning management systems (LMS) in enterprise context, that facilitate the selection of learning’s content suited for employees’ roles. This study focuses on literature review to understand the importance of a personalized LMS in company, especially in selection of content that adequate to role of each employee.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Alazemi, B.F., Almutairi, I.L., Almutairi, F.L.: Learning Management Systems (LMS) and future vision. Ilkogretim Online 20(4) (2021)

    Google Scholar 

  2. Angelova, M.: Corporate trainings–opportunities and challenges for employees and managers. Knowledge Society and Global Economy, 11 (2019)

    Google Scholar 

  3. Anton, C., Shikov, A.: The method of personalized corporate e-learning based on personal traits of employees. Procedia Comput. Sci. 136, 511–521 (2018)

    Article  Google Scholar 

  4. Bakanova, A.P., Okulov, S.A., Chunaev, A.V., Loginov, K.V., Shikov, A.N.: The concept of personalized e-learning with the use of mobile applications based on ontologies. Revista Espacios 39(17) (2018)

    Google Scholar 

  5. Bentaib, M., Aitdaoud, M., Namir, A., Talbi, M.: Adaptive help system based on learners “Digital Traces” and learning styles. Int. J. Emerg. Technol. Learn. 16(10), 288–294 (2021)

    Article  Google Scholar 

  6. Berking, P., Gallagher, S.: Choosing a learning management system. Advanced Distributed Learning (ADL) Co-Laboratories 14, 40–62 (2013)

    Google Scholar 

  7. Deev, M., Finogeev, A., Gamidullaeva, L., Schevchenko, S., Finogeev, A.: Tools for convergence, actualization and personalizing educational programs and content. In: Kravets, A.G., Shcherbakov, M., Parygin, D., Groumpos, P.P. (eds.) CIT&DS 2021. CCIS, vol. 1448, pp. 485–495. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-87034-8_35

    Chapter  Google Scholar 

  8. de Freitas, J.P.G.: A Formação Numa PME Portuguesa na Perspetiva dos Trabalhadores e dos Gestores. Relatório de Estágio para Obtenção do Grau de Mestre em Economia e Gestão de Recursos Humanos. Universidade do Porto (2017)

    Google Scholar 

  9. Díaz Redondo, R.P., Caeiro Rodríguez, M., López Escobar, J.J., Fernández Vilas, A.: Integrating micro-learning content in traditional e-learning platforms. Multimed. Tools Appl. 80(2), 3121–3151 (2020). https://doi.org/10.1007/s11042-020-09523-z

    Article  Google Scholar 

  10. Gladilina, I., Sergeeva, S., Abdalova, T., Romanova, O., Svarnik, T.: Efficiency of employee learning in small companies under conditions of digital economy: searching for optimum solutions. Eurasian J. Biosci. 14(2), 5829–5834 (2020)

    Google Scholar 

  11. Hamse, M., Lotfi, S., Talbi, M.: Identification and learning styles’ variation factors for a hybrid and distance learning professional training ODL-SPOC. Int. J. Emerg. Technol. Learn. (iJET) 16(17), 89–106 (2021)

    Article  Google Scholar 

  12. Herrera-Cubides, J.F., Gelvez-García, N.Y., López-Sarmiento, D.A.: LMS SaaS: una alternativa para la formación virtual. Ingeniare – Rev. Chil. Ing. 27(1), 164–179 (2019)

    Article  Google Scholar 

  13. Kavitha, V., Lohani, R.: A critical study on the use of artificial intelligence, e-Learning technology and tools to enhance the learners experience. Cluster Computing-the journal of Networks Software Tools and Applications 22, S6985–S6989 (2019)

    Google Scholar 

  14. Kitchenham, B., et al.: Systematic literature reviews in software engineering–a tertiary study. Inf. Softw. Technol. 52(8), 792–805 (2010)

    Article  Google Scholar 

  15. Kotova, E.E.: Use of intelligent agents in the learning process management tasks. In: 2017 IEEE II International Conference on Control in Technical Systems (CTS), pp. 180–183. IEEE (Oct 2017)

    Google Scholar 

  16. Lalitha, T.B., Sreeja, P.S.: Personalised self-directed learning recommendation system. Procedia Comput. Sci. 171, 583–592 (2020)

    Article  Google Scholar 

  17. Oliveira, P.C.D., Cunha, C.J.C.D.A., Nakayama, M.K.: Learning Management Systems (LMS) and e-learning management: an integrative review and research agenda. JISTEM-J. Inf. Syst. Technol. Manag. 13, 157–180 (2016)

    Google Scholar 

  18. Sadikin, M., Yusuf, R., Rifai, A.D.: Load balancing clustering on moodle LMS to overcome performance issue of e-learning system. Telkomnika 17(1), 131–138 (2019)

    Article  Google Scholar 

  19. Shurygin, V., Berestova, A., Litvinova, T., Kolpak, E., Nureyeva, A.: Universal models and platforms in e-learning. Int. J. Emerg. Technol. Learn. (iJET) 16(09), 63 (2021). https://doi.org/10.3991/ijet.v16i09.19697

    Article  Google Scholar 

  20. Ülker, D., Yılmaz, Y.: Learning management systems and comparison of open source learning management systems and proprietary learning management systems. J. Syst. Integr. 7(2), 18–24 (2016). https://doi.org/10.20470/jsi.v7i2.255

    Article  Google Scholar 

  21. Vesin, B., Mangaroska, K., Giannakos, M.: Learning in smart environments: user-centered design and analytics of an adaptive learning system. Smart Learn. Environ. 5(1), 1–21 (2018). https://doi.org/10.1186/s40561-018-0071-0

    Article  Google Scholar 

  22. Wu, W., Plakhtii, A.: E-learning based on cloud computing. Int. J. Emerg. Technol. Learn. 16(10), 4–17 (2021)

    Article  Google Scholar 

  23. Zahari, A.S.M., Salleh, S.M., Baniamin, R.M.R.: Knowledge management and e-Learning in organisations. J. Phys. Conf. Ser. 1529, 022051 (2020). https://doi.org/10.1088/1742-6596/1529/2/022051

    Article  Google Scholar 

  24. Zekiy, A., Shurygin, V., Saenko, N., Klochko, E., Kulapov, M.: Learning management systems in academic and corporate distance education. Int. J. Emerg. Technol. Learn. 16(11), 121–139 (2021)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Instituto Superior Técnico (IST), Lisbon, Portugal

    Glória Aplugi

  2. Department of Science and Technology, Universidade Aberta, Lisbon, Portugal

    Arnaldo Santos

Authors
  1. Glória Aplugi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Arnaldo Santos
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Glória Aplugi .

Editor information

Editors and Affiliations

  1. University of Trás-os-Montes e Alto Douro, Vila Real, Portugal

    Arsénio Reis

  2. University of Trás-os-Montes e Alto Douro, Vila Real, Portugal

    João Barroso

  3. University of Trás-os-Montes e Alto Douro, Vila Real, Portugal

    Paulo Martins

  4. University of Peloponnese, Tripoli, Greece

    Athanassios Jimoyiannis

  5. National Cheng Kung University, Tainan City, Taiwan

    Ray Yueh-Min Huang

  6. Nova IMS, Lisbon, Portugal

    Roberto Henriques

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Aplugi, G., Santos, A. (2022). Adaptation and Personalization of Learning Management System, Oriented to Employees’ Role in Enterprise Context - Literature Review. In: Reis, A., Barroso, J., Martins, P., Jimoyiannis, A., Huang, R.YM., Henriques, R. (eds) Technology and Innovation in Learning, Teaching and Education. TECH-EDU 2022. Communications in Computer and Information Science, vol 1720. Springer, Cham. https://doi.org/10.1007/978-3-031-22918-3_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-22918-3_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-22917-6

  • Online ISBN: 978-3-031-22918-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation