Abstract
As smartphones are getting popular, a concern for smartphone learner’s addiction to their phones has been raised together with the possibility of Smart Learning. This research is focused on the level of university students’ addiction to their smartphones and to understand the difference between self-regulated learning, learning flow, based on smartphone addiction level. After 210 students of university students in Seoul were participated in this research, it has been found that the higher the addiction level is, the lower level of self -regulated learning the students have, as well as low level of flow when studying. Further interview for smartphone addiction group was conducted, it has been found that the smartphone addict—learners are constantly interrupted by the other applications on the phones when they are studying, and does not have enough control over their smartphone learning plan and its process.
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References
Go, J. W.: Effect of smartphone addiction on youth’s sociality development-with focus on the interpersonal relation, confidence, peer sociality. Daedong Philosophy, 63, 1-38 (2013)
Kim, J. H.: (The) relationship among the extent of mobile phone usages, learning flow and academic achievement of high-grade elementary school students, Unpublished master thesis, Hanyang university, Korea (2010)
Kim, U. K.: difference between self control and self-regulated learning ability based on the mobilephone usage level of high school students, Unpublished master thesis, Ahju university, Korea (2007)
Kim, A. Y., Tak, H. Y., & Lee, C. H.: The development and validation of a learning flow scale for adults. Educational Psychology Research, 24(1), 39-59 (2010)
No, G. S., Joo, S. W., & Jeong, J. T.: An exploratory study on concept and realization conditions of smart learning. Educational Information Media Research, 18(1), 51-75 (2012)
Park, S. Y., & Nam, M. W.: An analysis of structural equation model in understating university students’ behavioral intention to use mobile learning based on technology acceptance model. Educational Information Media Research, 18(1), 51-75 (2012)
Park, S. I., & Kim, Y. K.: An inquiry on the relationships among learning-flow factors, flow level, achievement under on-line learning environment. Yeollin Education Research, 14(1), 93-115 (2006)
Seong, U. M., & Jin, S. H.: The effects of cell phone use according to the adolescence gender differences on self-regulated learning and achievement, Educational information media research, 18(4), 441-461 (2012)
So, W. G., & Kim, H. K.: A study on the influence of the motivational characteristics of mlearning on the learning outcome. Journal of Fisheries and Marine Sciences Education, 23(3), 368-377 (2012)
Shin, G. G.: Effect on user’s belief, choice intention and actual usage of HTS user’s recognized security. Commercial Education Research, 25(4), 183-204 (2011)
Shin, H. K. & Kim, Y. A.: A study on the factors affecting smart learning -focusing on the moderating effect of learning time. Korea Society of Industrial Information Systems, 16(5), 93-105 (2011)
Ahn, K. H., & Lee, C. H.: Elementary school people’s internet addiction and its relationship with their learning motivation and adaptation of school life. Korean Practical Arts Education, 12(4), 57-74 (2006)
Oh, S. H., & Kwon, O. Y.: A study on smart learning service model. Journal of Practical Engineering Education, 5(1), 28-33 (2013)
Lee, W. K., & Lee, J. K.: The influence of learning environment and learners’ self-efficacy on the effectiveness in e-learning. Business Informatics Research, 16(1), 1-21 (2006)
Lee, U. W., & Lee, J. Y.: Analysis on structural relationships of learner characteristics, interactions, flow, perceived usefulness and learning satisfaction in SMART education environments-with focus on elementary school. Educational Information Media Research, 19(3), 573-603 (2013)
Lim, G.: Research on Developing Instructional Design Models for Enhancing Smart Learning. Journal of Korean Association of Computer Education, 14(2), 33-45 (2011)
Im, S. I. & Kim, E. Y.: The relationship among mobile phone addiction and learning flow and academic achievement of male high school students. Korea Youth Research Association, 20(10), 315-337 (2013)
Yoon, J. Y., Moon, J. S., Kim, M. J., Kim, Y. J., Kim, H. A., Heo, B. R., Kim, J. E., … Hong, H. J.: Smartphone addiction and health problem on university students. Journal of Korean Association for Crisis and Emergency Management, 3(2), 92-104 (2011)
Jeon, B. Y.: Smartphone distribution rate Korean 67% as first ranked. Kyeong Hyang Newspaper(2013.06.25).http://news.khan.co.kr/kh_news/khan_art_view.html?artid=201306252201515&code=930201
Joo, Y. J., Kim, N. Y., & Cho, H. K.: Relationship between self-efficacy, online task value and self-regulated learning, and satisfaction and achievement in cyber education. Educational Information Media Research, 14(3), 115-135 (2008)
Choi, H. S., Lee, H. K., & Ha, J. C.: The influence of smartphone addiction on mental health, campus life and personal relations - focusing on K University Students, Journal of the Korean Data and Information Science Society, 23(5), 1005-1015 (2012)
National Information Society Agency: Development and Validation of the Smartphone Addiction Inventory. NIA IV-RER-11051 (2011)
National Information Society Agency: The Survey Research on Internet Addiction. NIA IVRER-12082 (2012)
Han, J. S., & Kim, S. Y.: A study on the difference in internet activities, self-control, selfregulated learning and academic achievement according to the level of internet addiction among middle school students. Educational Information Media Research, 12(2), 161-188 (2006)
Hwang, K. H., Yoo, Y. S., & Cho, Y. H.: Smartphone overuse and upper extremity pain, anxiety, depression, and interpersonal relationships among college students. Journal of Digital Contents Society, 12(10), 365-375 (2012)
Hwang, J. H., & Kim, D. H.: (An) Empirical study on the critical factors for successful mlearning implementation. Journal of Information Technology Applications & Management, 12(3), 57-80 (2005)
Hwang, Ha S., Son, S. H., & Choi, Y. J.: Exploring factors affecting smart-phone addiction - characteristics of users and functional attributes. Korean Association for Broadcasting, 25(2), 277-313 (2011)
Cheng, S. C., Hwang, W. Y., Wu, S. Y., Shadiev, R., & Xie, C. H.: A mobile device and online system with contextual familiarity and its effects on english learning on campus. Educational Technology & Society, 13(3), 93-109 (2010)
Jin, J. K.: Relationship between internet addiction and self regulated learning of high school students. Unpublished master thesis, Dankkook university, Korea (2008)
Csikszentmihalyi, M.: Flow: The psychology of Optimal Experience. New York: Harper Perennial (1990)
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R.: User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003 (1989)
Marks, H. M.: Student engagement in instructional activity: Patterns in the elementary, middle, and high school years. American Educational Research Journal, 37(1), 153-184 (2000)
Pintrich, P. R.: The role of goal orientation in self-regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of Self-regulation (451–502). San Diego, CA: Academic (2000)
Sha, L., Looi, C. K., Chen, W., & Zhang, B. H.: Understanding mobile learning from the perspective of self-regulated learning. Journal of Computer Assisted Learning, 28, 366-378 (2011)
Terras, M. M., & Ramsay, J.: The five central psychological challenges facing effective mobile learning. British Journal of Educational Technology, 43(5), 820-832 (2012)
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Lee, J., Cho, B., Kim, Y., Noh, J. (2015). Smartphone Addiction in University Students and Its Implication for Learning. In: Chen, G., Kumar, V., Kinshuk, ., Huang, R., Kong, S. (eds) Emerging Issues in Smart Learning. Lecture Notes in Educational Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44188-6_40
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DOI: https://doi.org/10.1007/978-3-662-44188-6_40
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