RESEARCH PAPER
Constructing Creativity: Social Media and Creative Expression in Design Education
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1
Guangdong Literature & Art Vocational College, Guangzhou, Guangdong, CHINA
 
2
Graduate School of Design Doctoral Program, National Yunlin University of Science and Technology, TAIWAN
 
 
Online publication date: 2017-10-27
 
 
Publication date: 2017-10-27
 
 
Corresponding author
Jia-Xiang Chai   

Graduate School of Design Doctoral Program, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan
 
 
EURASIA J. Math., Sci Tech. Ed 2018;14(1):33-43
 
KEYWORDS
ABSTRACT
Social media plays a role in the development of a personal knowledge system and personal creativity. This paper develops a theoretical model to analyze the relation between social media and creative expression in design education. Based on the flow theory, the generativity theory, and TAM, the paper collects data regarding the usability dimension of students in social media, and their creativity, and examines the proposed model through statistical software SAS9.4 to analyze the data. A correlation is seen between the usability dimension of social media and the creative expression dimension, with an especially significant positive connection between perceived ease of use and perceived usefulness, as well as capturing and challenging. The adoption intention of social media is positively correlated with creative expression, while the usability dimension of social media has positive correlation with broadenings and negative correlation with surroundings; however, neither is significant. This reveals that aimlessly accumulating knowledge through social media will not help students improve their creativity; instead, overusing social media hinders one from understanding the real world and gaining inspiration. The paper is conducive to better social media design and higher personal creativity.
REFERENCES (40)
1.
Abel, T. D. (2015). Design Education: Teaching Design Science By Incorporating Eye-tracking Data Into Undergraduate Visual Communication Design Studios.
 
2.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370.
 
3.
Boyd, D. M. (2001). Taken out of context American teen sociality in networked publics (Doctoral Thesis). University of California, Berkeley.
 
4.
Campbell, D. T., & Fiske, D. W. (1959). Convergent and Discriminant Validation by the Multitrait-Multimethod Matrix. Psychological Bulletin, 56, 81-105.
 
5.
Chai, J. X., & Fan, K. K. (2016). Mobile inverted constructivism: Education of interaction technology in social media. Eurasia Journal of Mathematics Science and Technology Education, 12(5), 1425-1442. doi:10.12973/eurasia.2016.1522a.
 
6.
Chang, H. J. (2014). Adoption of e-book among college students: The perspective of an integrated TAM. Computers in Human Behavior, 41, 471-477. doi.org/10.1016/j.chb.2014.09.056.
 
7.
Chang, Y. P., & Zhu, D. H. (2011). Understanding social networking sites adoption in china: A comparison of pre-adoption and post-adoption. Computers in Human Behavior, 27(5), 1840-1848. doi:10.1016/j.chb.2011.04.006.
 
8.
Chen, S. C., & Li, S. H. (2010). Consumer adoption of e-service: Integrating technology readiness with the theory of planned behavior. African Journal of Business Management, 4(16), 3556–3563.
 
9.
Chin, W. W., & Gopal, A. (1995). Adoption intention in GSS: Relative importance of beliefs. Database Advances, 26(2), 42–64.
 
10.
Craik, H. (2010). Cognitive surplus: Creativity and generosity in a connected age -- clay shirky. International Journal of Advertising, 29(5), 835. doi:10.2501/S0265048710201488.
 
11.
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Thousand Oaks, CA: Sage Publications, Inc.
 
12.
Csikszentmihalyi, M. (1975), Beyond Boredom and Anxiety, Jossey-Bass. San Francisco, CA.
 
13.
Csikszentmihalyi, M. (1990). Flow : the psychology of optimal experience(1st ed.). NY: Harper & Row.
 
14.
Csíkszentmihályi, M. (1996). Flow and the psychology of discovery and invention. NY: Harper Collins. Chicago.
 
15.
Davis, F.D. (1989). Perceived usefulness, perceived ease of Use, and user acceptance of information technology. MIS, Q. 13(3), 319–340.
 
16.
Epstein, R. (1990) Generativity Theory and Creativity. In Runco, M.A. and Albert, R.S. (eds.), Theories of Creativity. Sage, Newbury Park, CA, pp.116–40.
 
17.
Epstein, R. (1996). Cognition, creativity, and behavior: Selected essays. Westport, CT: Praeger.
 
18.
Epstein, R. (1999). “Generativity Theory”. In Runco, M.A., Pritzker, S. Encyclopedia of Creativity. Academic Press.
 
19.
Epstein, R., & Phan, V. (2012). Which competencies are most important for creative expression? Creativity Research Journal, 24(4), 278. doi:10.1080/10400419.2012.726579.
 
20.
Epstein, R., Kirshnit, C. E., Lanza, R. P., & Rubin, L. C. (1984). “Insight” in the Pigeon: Antecedents and Determinants of an Intelligent Performance. Nature, 308(5954), 61–62. doi:10.1038/308061a0. PMID 6700713.
 
21.
Epstein, R., Schmidt, S. M., & Warfel, R. (2008). Measuring and training creativity competencies: Validation of a new test. Creativity Research Journal, 20(1), 7-12. doi:10.1080/10400410701839876.
 
22.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement errors. Journal of Marketing Research, 18(1), 39– 50.
 
23.
Fullagar, C. J., Kelloway, E. K. (2009). Flow at work: an experience sampling approach. Journal of Occupational and Organizational Psychology, 82(3), 595–615. doi:10.1348/096317908x35790.
 
24.
Gelb, D. (2015). Social Media, Constructivism and Design Studio: Lessons Learned.
 
25.
Gu, C., Hu, B. Y., Ngwira, F. F., Jing, Z., & Zhou, Z. (2016). The effect of general creative personality and freedom of task choice on adolescents’ social creativity. The Journal of Creative Behavior, 50(2), 132-149. doi:10.1002/jocb.74.
 
26.
Guler, K. (2015). Social media-based learning in the design studio: A comparative study. Computers & Education, 87, 192-203. doi:10.1016/j.compedu.2015.06.004.
 
27.
Hsu, C. L., & Lin, C. C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information and Management, 45(1), 65–74.
 
28.
Jones, M., & Gelb, D. (2010). Course Co-Creation vs. Course Management: Wikis as a Potential Alternative to Traditional Learning Management Systems. T. Kidd & I. Chan (Ed.) Wired for Learning: An Educators Guide to Web 2.0, eds. (pp.179-194) Charlotte, NC: Information Age Publications.
 
29.
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31-36.
 
30.
Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post- adoption beliefs. MIS Quarterly, 23(2), 183–213.
 
31.
Kozbelt, A., Dexter, S., Dolese, M., Meredith, D., & Ostrofsky, J. (2015). Regressive imagery in creative Problem‐Solving: Comparing verbal protocols of expert and novice visual artists and computer programmers. The Journal of Creative Behavior, 49(4), 263-278. doi:10.1002/jocb.64.
 
32.
Lim, C. K. (2015). Designers are Makers: Interdisciplinary Curriculum in a Digital Design Studio.
 
33.
Manca, S., & Ranieri, M. (2016). “Yes for sharing, no for teaching!”: Social media in academic practices. The Internet and Higher Education, 29, 63-74. doi:10.1016/j.iheduc.2015.12.004.
 
34.
Mardia, K. V., Kent, J. T., & Bibby, J. M. (1979). Multivariate Analysis. Academic Press.
 
35.
Moran, M., Seaman, J., & Tinti-Kane, H. (2012). Blogs, Wikis, Podcasts and Facebook: How Today’s Higher Education Faculty Use Social Media. Pearson Learning Solutions and Babson Survey Research Group.
 
36.
Nakamura, J., & Csikszentmihalyi, M. (2014). The concept of flow. In Flow and the foundations of positive psychology (pp. 239-263). Springer Netherlands.
 
37.
Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill.
 
38.
Peppler, K. A., & Solomou, M. (2011). Building creativity: Collaborative learning and creativity in social media environments. On the Horizon, 19(1), 13-23. doi:10.1108/10748121111107672.
 
39.
Solis, B. & Breakenridge, D. (2009). Putting the Public Back in Public Relations: How Social Media Is Reinventing the Aging Business of PR. FT Press.
 
40.
Zhuang, Z. J. (2008). The cognition and users satisfaction relationship of instant message software.
 
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