Abstract
Advanced InformationTechnology brings not only good effects but also bad effects to people’s lives. In this paper, we analyze the relationship between Korean Information Culture Index (KICI) and the Internet and mobile phone addiction for Korean adolescent. KICI represents a quantitative value that measures people’s information literacy levels. Thus, KICI measures how well people use the Internet, whereas the Internet and mobile phone addiction levels represent how badly people use them. In order to achieve our research goal, we firstly diagnose KICI and the Internet and mobile phone addiction level of Korean adolescent by using our questionnaire. Next, we analyze the relationships between KICI and the two addiction levels with regression analysis to see how KICI affects the two addictions. We also find out which questions are more influential to Korean adolescent in KICI measurement. Finally, we propose a better educational way to improve KICI level and to decrease the two addiction levels for Korean adolescent.
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References
Huffaker, D.: The Educated Blogger: Using Weblogs to Promote Literacy in the Classroom. AACE Journal 13(2), 91–98 (2005)
Elisheva, F.G., Juvonen, J., Gable, S.L.: Internet Use and Well-Being in Adolescence. Journal of Social Issues 58(1), 75–90 (2002)
Christakis, D.A., Moreno, M.A.: Trapped in the Net: Will Internet Addiction Become a 21st-Century Epidemic? Arch. Pediatr. Adolesc. Med. 163(10), 959–960 (2009)
Jenaro, C., Flores, N., Gomez-vela, M., Gonzalez-Gil, F., Caballo, C.: Problematic Internet and Cell-Phone Use: Psychological, Behavioral, and Health Correlates. Addiction Research and Theory 15(3), 309–320 (2007)
Information Culture Department: Report on Korean Information Culture Index 2009. Korean Ministry of Public Administration and Security (2010) (Korean)
Digital Times: Information Culture Index 66 (2010) (Korean), http://www.dt.co.kr/contents.html?article_no=2010100102010460634004
Witten, I., Frank, E.: Data Mining : Practical Machine Learning Tools and Techniques. Elsevier (2005)
Young, K.S.: Internet Addiction: The Emergence of a New Clinical Disorder. Cyber Psychology & Behavior 1(3), 237–244 (1998)
http://www.netaddiction.com/index.php?option=com_bfquiz&view=onepage&catid=46&itemid=106
Yang, S.: Research on Cell Phone Addiction for High School Adolescent. Korean Youth Policy Institute (2002) (Korean)
Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann (1999)
Yang, S., Song, J., Rajamani, H., Cho, T., Zhang, Y., Mooney, R.: Fast and Effective Worm Fingerprinting via Machine Learning. In: Proceedings of the 2006 IEEE International Conference on Autonomic Computing, pp. 311–313 (2006)
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Kim, H.C., Park, C.J., Ko, Y.M., Hyun, J.S., Kim, C.M. (2011). The Good and the Bad: The Effects of Excellence in the Internet and Mobile Phone Usage. In: Kim, Th., et al. Software Engineering, Business Continuity, and Education. ASEA 2011. Communications in Computer and Information Science, vol 257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27207-3_61
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DOI: https://doi.org/10.1007/978-3-642-27207-3_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27206-6
Online ISBN: 978-3-642-27207-3
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