Browse > Article
http://dx.doi.org/10.14400/JDC.2017.15.5.27

A Study on the Effect of Affecting Factors of SNS on Learner's Attitude and Performance: Focused on University Class  

Jun, Byoung-Ho (Institute of General Education, Seoul Women's University)
Publication Information
Journal of Digital Convergence / v.15, no.5, 2017 , pp. 27-36 More about this Journal
Abstract
SNS has been emerged as an effective educational tool in college and many studies on various teaching models and methodologies have been made in order to utilize SNS in education. The purpose of this paper is to empirically investigate the effect of affecting factors of SNS on learner's attitude, intention to re-use and performance in converging college educational environment. Self-efficacy on media usage, educational expectancy, subjective norm, habit, and enjoyment were identified as affecting factors based on prior researches. An empirical analysis was attempted by survey targeting college students. The results of structural equation model using Smart PLS shows that educational expectancy, subjective norm, and enjoyment are significantly related to the learner's attitude on use of SNS in college education, but Self-efficacy on media usage and habit are not. Learner's attitude on SNS in college education was found to be significantly related to the intention to continuous use and performance. This study implicates that using SNS in university class makes learner's attitude positively and finally lead to good performance. The analysis results can provide a guideline of effective strategy for SNS utilization in college education.
Keywords
Social Network Service(SNS); University class; Attitude; Intention to re-use; Performance;
Citations & Related Records
Times Cited By KSCI : 11  (Citation Analysis)
연도 인용수 순위
1 A. Bandura, Self-Efficacy. The Exercise of Control, New York: W.H. Freeman and Company, 1997.
2 R. Santhanam, S. Sasidharan and J. Webster, "Using self-regulatory learning to enhance e-learning-based information technology training," Information Systems Research, Vol. 19, pp. 26-47, 2008.   DOI
3 J. H. Wu, Tennyson, and Hisa, "A study of student satisfaction in a blended e-learning system environment," Computers & Education, Vol. 55, pp. 155-164, 2010.   DOI
4 H. P. Shih, "Assessing the effects of self-efficacy and competence on individual satisfaction with computer use: An IT student perspective," Computers in Human Behavior, Vol. 22, pp. 1012-1026, 2006.   DOI
5 B. S. Kimand D. K. Kim, “A Study on Antecedents of SNS User's Addiction in the Age of Convergence: The Role of SNS Habit,” Journal of Digital Convergence, Vol. 13, No. 8, pp. 161-168, 2015.   DOI
6 I Ha, Y. Yoon and M. Choi, “Determinants of adoption of mobile games under mobile broadband wireless access environment,” Information & Management, Vol. 44, No. 3, pp. 276-286, 2007.   DOI
7 H. H. Jeong, “An investigation of continuance intention of e-learning use designed for learning assistance tool in university,” Journal of Educational Technology, Vol. 30, No. 2, pp. 307-334, 2014.   DOI
8 K. S. Sujeet, J. Ankita and S. Himanshu, "A Multi-analytical approach to predict the Facebook usage in higher education," Computers in Human Behavior, Vol. 55, pp. 340-353, 2016.   DOI
9 F. Davis, "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, Vol. 13, No. 3, pp. 319-340, 1989.   DOI
10 B. H. Jun and B. G. Kang, “Effects of Information Quality on Customer Satisfaction and Continuous Intention to use in Social Commerce,” Journal of The Korea Society of Computer and Information, Vol. 18, No. 3, pp. 127-139, 2013.   DOI
11 J. E. Bailey and S. W. Pearson, “Development of a Tool for Measurement and Analyzing Computer User Satisfaction,” Management Science, Vol. 29, No. 5, pp. 530-545, 1983.   DOI
12 A. W. Gatian, “Is user Satisfaction a Valid Measure of System Effectiveness?,” Information & Management, Vol. 26, No. 3, pp. 119-131, 1994.   DOI
13 H. H. Jeong, “A Study on College Students' intention to utilize Social Network Service: Focusing on the Use of College Courses,” Journal of Educational Technology, Vol. 31, No. 1, pp. 39-72, 2015.   DOI
14 S. H. Lee. "A Study of Student's Satisfaction on SNS applied to Lecture in University," The e-Business Studies, Vol. 14, No. 5, pp. 153-169, 2013.   DOI
15 D. W. Han, M. C. Kang, "An exploratory study of applying SNS to lecture and professor trust", Journal of Digital Convergence, Vol. 12, No. 10, pp. 531-539, 2014.   DOI
16 S. Y. Pi, “Utilization Plan of SNS for Computer Utilization Ability Improvement of University Student,” Journal of Digital Convergence, Vol. 12, No, 6, pp. 587-595, 2014.   DOI
17 Y. J. Joo and Y. J. Jung, “A study of satisfaction and intention to use social media for collaborative learning in University,” Korean Journal of Educational Research, Vol. 54, No. 1, pp. 127-150, 2016.
18 M. Limayem, S. G. Hirt and C. M. K. Cheung, “How habit limits the predictive power of intention: The case of information systems continuance,” MIS Quarterly, Vol. 31, No. 4, pp. 705-737, 2007.   DOI
19 W. S. Jung and S. J. Yoon, “Predicting Purchase Intent on Social Commerce: Use of TPB and TRI,” Journal of Korea Service Management Society, Vol. 14, No. 2, pp. 1-24, 2013.
20 I. Ajzen, “The Theory of planned behavior,” Organizational Behavior and Human Decision Processes, Vol. 50., No. 2, pp. 179-211, 1991.   DOI
21 Venkatesh, Viswanath and Fred D. Davis, "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, Vol. 2, pp. 186-204, 2000.
22 S. R. Kang, S. J. Han and Y. J. Kin, “Key Determinants of Online Wine Purchasing Intention,” Journal of the Korea Society of Computer and Information, Vol. 18, No. 12, pp. 123-138, 2013.   DOI
23 S. I. Hong, Li Bin, and B. S. Kim, “Consumer Purchase Decision in a Mobile Shopping Mall: An Integrative View of Trust and Theory of Planned Behavior,” Information Systems Review, Vol. 18, No. 2, pp. 151-171, 2016.   DOI
24 H. C. Triandis, "Attitude and Attitude Change," New York, NY, USA: John Wiley & Sons, 1971.
25 M. Limayem and S. G. Hirt, "Force of habit and information systems usage: theory and initial validation," Journal of the Association for Information Systems, Vol. 4, pp. 65-97, 2003.   DOI
26 N. Friesen, and S. Lowe, “The questionable promise of social media for education: Connective learning and the commercial imperative,” Journal of Computer Assisted Learning, Vol. 28, No. 3, pp. 183-194, 2011.   DOI
27 E. H. Chon, “The Effects of Leaner Characteristics on Collaboration Satisfaction in Collaboration learning Utilizing Social Network Sites,” Journal of Learner-Centered Curriculum and Instruction, Vol. 16, No. 2, pp. 571-596, 2016.
28 N. B. Ellison, C. Steinfield, and C. Lampe, “The benefits of Facebook “friends:” Social capital and college students’ use of online social network sites,” Journal of Computer‐Mediated Communication, Vol. 12, No. 4, pp. 1143-1168, 2007.
29 K. Peppler, and M. Solomou, “Building creativity: Collaborative learning and creativity in social media environments,” On the Horizon, Vol. 19, No. 1, pp. 13-23, 2011.   DOI
30 R. Arteaga Sanchez, V. Cortijo, and U. Javed, "Student's perceptions of Facebook for academic purpose," Computers & Education, Vol. 70, pp. 138-149, 2014.   DOI
31 H. J. Park and B. M. Yu, “An Analysis of the Structural Relationships among Learning Presence, Learning Flow, Learning Satisfaction and Learning Persistence with the Use of SNS in University Classes,” The journal of Educational Information and Media, Vol. 20, No. 4, pp. 649-674, 2014.
32 A. Paul Tess, "The role of social media in higher education classes(real and virtual)-A literature review," Computers in Human Behavior, Vol. 29, pp. 60-68, 2013.   DOI
33 J. M. Lee, H. K. Park, and Y. J. Jung, “Domestic Research Trends of Social Learning in Higher Education,” Journal of Digital Convergence, Vol. 14, No, 4, pp. 111-128, 2016.   DOI
34 KISA, "2016 Survey on the Internet Usage," KISA, 2017.
35 B. H. Jun, “A Study on the Factors affecting the Satisfaction and Performance of Information Education in College,” Journal of The Korean Association of Information Education, Vol. 14, No. 4, pp. 477-489, 2010.
36 Y. F. Chen, “See you on facebook: Exploring influences on facebook continuous usage,” Behaviour & Information Technology, Vol. 33, No. 11, pp. 1208-1218, 2014.   DOI
37 O. Kwon, and Y. Wen,, “An empirical study of the factors affecting social network service use,” Computers in Human Behavior, Vol. 26, No. 2, pp. 254-263, 2010.   DOI
38 F. Davis, "Perceived usefulness, perceived ease of use, and user acceptance of information technology," MIS Quarterly, vol. 13, no. 3, pp. 319-340, 1989.   DOI
39 M. H. Chung, Y. R. Gim, and J. Y. Kim, “An Analysis of the Awareness of Undergraduate Students Toward Educational Methods Utilizing SNS,” Journal of Korean Society for Internet Inforamtion, Vol. 15, No. 5, pp. 33-41, 2014.
40 B. H. Jun, “Affecting factors of Leaner's Attitude and Intention to use of SNS in College Education,” Journal of the Korea Society of Digital Industry & Information Management, Vol. 12, No. 2, pp. 51-59, 2016.   DOI
41 J. A. Hair, R. E. Anderson, R. L. Tatham and W. C. Black, Multivariate data analysis(5th edition), New Jersey: Prentice Hall, 1998.
42 B. S. Kim, “The diffusion of mobile data services and applications: Exploring the role of habit and its antecedents,” Telecommunications Policy, Vol. 26, No. 1, pp. 69-81, 2012.   DOI
43 M. Limayem and C. M. K. Cheung, “Understanding information systems continuance: The case of Internet-based learning technologies,” Information & Management, Vol. 45, No. 4, pp. 227-232, 2008.   DOI
44 H. S. Jeong, D. C. Son and C. S. Kim, “Learning Effect Analysis for Flipped Learning based Computer Use Instruction,” Journal of the Korea Convergence Society, Vol. 8, No, 1, pp. 155-162, 2017.   DOI
45 S. Y. Han, “A study on the Relationships among Smart Phone Addiction, Learning-Flow, and Learning Achievement of Nursing Students,” Journal of Learner-Centered Curriculum and Instruction, Vol. 15, No. 2, pp. 987-1003, 2015.
46 J. M. Howell and C. A. Higgins, “Champion of Technological Innovation,” Administrative Science Quarterly, Vol. 35, No. 2, pp. 317-341, 1990.   DOI
47 J. C. Nunnally, Psychometric Theory, New York, Mc-Graw-Hill, 1994.
48 C. Fornell, and D. F. Lacker, “Structural Equation Models with Unobservable Variables and Measurement Errors,” Journal of Marketing Research, Vol. 18, No. 2, pp. 39-50, 1981.   DOI
49 J. Y. Chang, “Convergence of Education and Information & Communication Technology : A Study on the Communication Characteristics of SNS Affecting Relationship Development between Professor and Student,” Journal of the Korea Convergence Society, Vol. 6, No, 6, pp. 213-219, 2015.   DOI
50 B. S Kim and, I. D. Hwang, "Antecedents of Behavioral Problem in Social Network Services: Moderating Effect of Age," The Academy of Customer Satisfaction Management Journal," Vol. 18, No. 1, pp. 57-75, 2016.