Skip to main content
SpringerLink
Log in

An analysis work on correlation of internet addiction and school age groups

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

In the modern information and knowledge society, every citizen stands to benefit from advanced ICT and smart techniques. However, in proportion to such benefits, many side effects also come to us. The typical side effects are copyright infringement, hacking, cyber bullying, internet addiction, etc. Internet addiction can occur at all levels, can also cause serious social problems unless the appropriate prevention and treatment programs are provided at national level. The purpose of this paper is to investigate correlation between internet addiction and school age groups. To achieve this purpose, extensive and national survey works of National Information Society Agency of Korea (NIA) are analyzed. Based on results of thorough statistical analysis, it is concluded that there is a meaningful correlation between internet addiction and school age groups.

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

Similar content being viewed by others

References

  1. Han, S.E., Koh, Y.S.: A study on the establishment of local govermance for the prevention of internet addiction. Korea Local Adm. Rev. 26(3), 461–483 (2012)

    Google Scholar 

  2. Techopedia: internet addiction. https://www.techopedia.com/definition/15454/internet-addiction (2016). Accessed 19 June 2016

  3. Shaw, M., Black, D.W.: Internet addiction: definition, assessment, epidemiology and clinical management. CNS Drugs 22(5), 353–365 (2008)

    Article  Google Scholar 

  4. UnityPoint Health: What is internet addiction?. http://www.addictionrecov.org/Addictions/index.aspx?AID=43 (2016). Accessed 19 June 2016

  5. Everydayhealth: What is internet addiction?. http://www.everydayhealth.com/internet-addiction/guide/ (2016). Accessed 19 June 2016

  6. Kim, H. S.: A meta-analytic path analysis of variables in adolescents’ internet addiction: focused on ecological factors. Master Thesis, Cathoric Unversity of Korea, Buchon (2015)

  7. Jang, K.S., Hwang, S.Y., Choi, J.Y.: Internet addiction and psychiatric symptoms among Korean adolescents. J. School Health 78(3), 165–171 (2008)

    Article  Google Scholar 

  8. Korea Information Society Agency: 2014 internet addiction survey work & analysis”, Report NIA V-RER-14112 (2015)

  9. Korea Information Society Agency: 2013 internet addiction survey work & analysis, Report NIA V-RER-13077 (2014)

  10. Korea Information Society Agency: 2012 internet addiction survey work & analysis. Report NIA V-RER-12082 (2013)

  11. Korea Information Society Agency: 2011 internet addiction survey work & analysis, Report NIA-RER-11052 (2012)

  12. Wikipedia: https://en.wikipedia.org/wiki/Chi-squared_test (2016). Accessed 29 Oct 2016

Download references

Author information

Authors and Affiliations

  1. Department of Computer Education, Seoul National University of Education, Seoul, Korea

    Woochun Jun

Authors
  1. Woochun Jun
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Woochun Jun.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jun, W. An analysis work on correlation of internet addiction and school age groups. Cluster Comput 20, 879–882 (2017). https://doi.org/10.1007/s10586-016-0693-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-016-0693-3

Keywords

Search

Navigation