Skip to main content

Advertisement

SpringerLink
Log in

Key Technologies and Solutions of Remote Distributed Virtual Laboratory for E-Learning and E-Education

  • Published:
Mobile Networks and Applications Aims and scope Submit manuscript

Abstract

As the world of technology offers a rapidly increasing number of outlets for creativity and communications, a worldwide education is undergoing a significant renovation. Today, students can have the access to virtual classroom from anywhere, at any time. While E-learning, E-education and remote education are highly encouraged thanks to their obvious advantages, there is a necessity to explore the network service, QoS, organization and structure of these modern teaching-learning approaches. Widely adopted by numerous universities and institutions, the remote distributed virtual laboratory is an important technology for delivering highly efficient and effective E-learning, E-education and remote education in many disciplines. For this reason, in this paper, a number of key problems of this critical technology are discussed, with the goal of providing references and solutions for successful and smooth implementation.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Guo L, Guo Y, Yihua Z, Yuhai S (2003) The virtual lab system. The Journal of China Universities of Posts and Telecommunications 10(2):81–84

    Google Scholar 

  2. Nedic Z, Machotka J, Nafalski A (2003) Remote laboratories versus virtual and real laboratories. IEEE Frontiers in Education 1:T3E-1–T3E-6

    Google Scholar 

  3. Jara CA, Candelas FA, Puente ST, Torres F (2011) Hands-on experiences of undergraduate students in automatics and robotics using a virtual and remote laboratory. Comput Educ 57(4):2451–2461

    Article  Google Scholar 

  4. Caminero A, Ros S, Hernandez R, Roblesgomez A, Tobarra L, Tolbanos P (2016) Virtual remote laboratories management system (tutores): using cloud computing to acquire university practical skills. IEEE Trans Learn Technol 9(2):133–145

    Article  Google Scholar 

  5. Bora UJ, Ahmed M (2013) E-learning using cloud computing. Int J Sci Modern Eng 1(2):9–13

    Google Scholar 

  6. Selviandro N, Hasibuan ZA (2013) Cloud-Based e-learning: a proposed model and benefits by using e-learning based on cloud computing for educational institution. International Conference on Information and Communication Technology 7804:192–201

    Google Scholar 

  7. Corter JE, Nickerson JV, Esche SK, Chassapis C (2004) Remote versus hands-on labs: a comparative study. Frontiers in Education. IEEE Frontiers in Education 2:F1G-17–F1G-21

    Google Scholar 

  8. Shaheen M, Loparo KA, Buchner M (1998) Remote laboratory experimentation. American Control Conference. IEEE American Control Conference 2:1326–1329

    Google Scholar 

  9. Schmid C (1998) The virtual control lab VCLab for education on the Web. American Control Conference. IEEE American Control Conference 2:1314–1318

    Google Scholar 

  10. Casini M, Garulli A, Prattichizzo D, Vicino A (2003) Remote system identification in the "automatic control telelab" environment. IEEE Conference on Decision & Control 5:4956–4961

    Google Scholar 

  11. Bhandari A, Shor MH (1998) Access to an instructional control laboratory experiment through the World Wide Web. American Control Conference. IEEE Xplore 2:1319–1325

    Google Scholar 

  12. Casini M, Prattichizzo D, Vicino A (2001) The Automatic Control Telelab: a remote control engineering laboratory. IEEE Conference on Decision & Control 4:3242–3247

    Article  Google Scholar 

  13. Sureshbhosale Y, Jenila LLM (2014) V-lab: a mobile virtual lab for network security studies. Int J Comput Appl 93(20):35–38

    Google Scholar 

  14. Liu H, Dan O (2010) Remote network labs: an on-demand network cloud for configuration testing. ACM 40(1):83–91

    MathSciNet  Google Scholar 

  15. Ros S, Robles-Gomez A, Hernandez R, Caminero AC, Pastor R (2012) Using virtualization and automatic evaluation: adapting network services management courses to the ehea. IEEE Trans Educ 55(2):196–202

    Article  Google Scholar 

  16. Rajurikar NS, Kulkarni SV, Patane RD (2017) Implementation of Centralized Lab of an Embedded Web server using CoAP Protocol on cloud computing. IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology 2267–2272

  17. Shukhman AE, Polezhaev PN, Legashev LV, Ushakov YA, Bolodurina IP (2017) Creation of regional center for shared access to educational software based on cloud technology. IEEE Global Engineering Education Conference 916–919

  18. Gasparetti F, De MC, Limongelli C, Sciarrone F, Temperini M (2017) Prerequisites between learning objects: Automatic extraction based on a machine learning approach. Telematics Inform 35(3):595–610

    Article  Google Scholar 

  19. Zhou JT, Zhao H, Peng X, Fang M, Qin Z, Goh RSM (2018) Transfer Hashing: From Shallow to Deep. IEEE Transactions on Neural Networks and Learning Systems 99:1–11

    Google Scholar 

  20. Matijevic MS, Jovic ND, Nedeljkovic MS, Cantrak DS (2017) Remote labs and problem oriented engineering education. IEEE Global Engineering Education Conference 1391–1396

Download references

Acknowledgments

This work is supported by the National Natural Science Foundation of China (61771154) and the Fundamental Research Funds for the Central Universities (HEUCFG201830).

Meantime, all the authors declare that there is no conflict of interests regarding the publication of this article.

We gratefully thank of very useful discussions of reviewers.

Author information

Authors and Affiliations

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin, People’s Republic of China

    Yun Lin & Sen Wang

  2. Daqing Vocational College, Da Qing, People’s Republic of China

    Qidi Wu

  3. Department of Information Technology, College of Engineering and Computing, Georgia Southern University, Statesboro, GA, USA

    Lei Chen

Authors
  1. Yun Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sen Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qidi Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lei Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lei Chen.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lin, Y., Wang, S., Wu, Q. et al. Key Technologies and Solutions of Remote Distributed Virtual Laboratory for E-Learning and E-Education. Mobile Netw Appl 24, 18–24 (2019). https://doi.org/10.1007/s11036-018-1130-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11036-018-1130-z

Keywords

Search

Navigation