JSS  Vol.2 No.5 , May 2014
Research on Adapting to QR Code by Auto-Repairing Students in Vocational High School
Author(s) Chun-Hsin Chang*
ABSTRACT
QR code as a technology enhanced learning tool is prevailing not only in daily life, but also in education settings. The present study aims to explore the usage of QR code as a social medium in searching and learning profession knowledge of auto-repairing. The experiment contains 3 learning courses and 3 lessons for 155 students. Moreover, based on the theory of planned behavior, questionnaires are designed for students to fill out. A total of 153 copies are valid questionnaires. Confirmatory factor analysis is conducted while structural equation model is established. Research outcome indicates that Internet cognitive capacity correlates with hedonic and epistemic values, which reflect directly in learning attitudes of auto-repairing students using QR code. As sustaining intent of usage for QR code has to do with learning attitude of students, the study suggests that instructors should decrease complex contents of QR code before providing them to students for learning.

Cite this paper
Chang, C. (2014) Research on Adapting to QR Code by Auto-Repairing Students in Vocational High School. Open Journal of Social Sciences, 2, 32-40. doi: 10.4236/jss.2014.25008.
References
[1]   Cheng, H.-L. (2011) Research on Natural and Life Technology Learning Attitude and Learning Achievement for Elementary Students on Both Sides of the Taiwan Strait. Unpublished Thesis, Graduate School of Industrial Technology Education, National Kaohsiung Normal University, Kaohsiung.

[2]   Shen, W.-Y. (2010) Research on Multimedia Education of Experimental Course on Injection Engine in Vocational High School. Unpublished Thesis, Graduate School of Industrial technology Education, National Kaohsiung Normal University, Kaohsiung.

[3]   Tseng, C.-L. (2001) Turning Knowledge into Profit Innovation Is True Incentive. Symposium on “Era of Knowledge Economics—Role to Be Played by Colleges of Technology”. United Daily News, April 23, 23.

[4]   Wen, T.-Y. (2011) Research on Factors Influencing Web Learning Effectiveness and Learning Satisfaction. Unpublished Thesis, Graduate School of Industrial Technology Education, National Kaohsiung Normal University, Kaohsiung.

[5]   Wang, B.-C. (2007) Research on Information Technology Resolved in Educational Affection on Learning Effectiveness of Junior High School Students. Unpublished Thesis, Graduate School of Industrial Education, National Taiwan Normal University, Taipei.

[6]   Wu, C.-Y. (2000) Comparison of Learning Effectiveness between Internet Education and Traditional Education—Exemplified by Education of Word 2000. Unpublished Thesis, Graduate School of Information Management, Tam Kang University, Taipei.

[7]   Fishbein, M. (1967) Attitude and the Prediction of Behavior. In Martin.

[8]   Ajzen, I. (1985) From Intentions to Action: A Theory of Planned Behavior. In: Kuhl, J. and Beckmann, J., Eds., Action-Control: From Cognition to Behavior, Springer-Verlag, Heidelberg, 11-39. http://dx.doi.org/10.1007/978-3-642-69746-3_2

[9]   Ajzen, I. and Madden, T.J. (1986) Prediction of Goal-Directed Behavior: Attitudes, Intentions and Perceived Behavioral Control. Journal of Experimental Social Psychology, 22, 453-474. http://dx.doi.org/10.1016/0022-1031(86)90045-4

[10]   Ajzen, I. (1989) Attitude Structure and Behavior. In Breckler, S.J. and Greenwald, A.G., Eds., Attitude Structure and Function, Lawrence Erlbaum, Hillsdale, 241-274.

[11]   Li, K.-L. (2005) Research on Use Behavior for Blog Websites. Unpublished Thesis, Graduate School of Information Management, Chung-Yuan University, Miao-Li County.

[12]   Wang, Y.-S. (2006) Exploration on Playful Factors Affect Online Games Cognition. Unpublished Thesis, Graduate School of Information Management, National Chang-Hua Normal University, Chang-Hua.

[13]   Wallace, J.C., Kass, S.J. and Stanny, C.J. (2002) The Cognitive Failures Questionnaire Revisited: Dimensions and Correlates. The Journal of General Psychology, 129, 238-256. http://dx.doi.org/10.1080/00221300209602098

[14]   Forster, S. and Lavie, N. (2007) High Perceptual Load Makes Everybody Equal Eliminating Individual Differences in Distractibility with Load. Psychological Science, 18, 377-381. http://dx.doi.org/10.1111/j.1467-9280.2007.01908.x

[15]   Strahilevitz, M. and Myers, J. (1998) Donations to Charity as Purchase Incentives: How Well They Work May Depend on What You Are Trying to Sell. Journal of Consumer Research, 24, 434. http://dx.doi.org/10.1086/209519

[16]   Holbrook, M.B. and Hirschman, E.C. (1982) The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun. Journal of Consumer Research, 9, 132-140. http://dx.doi.org/10.1086/208906

[17]   Bruner II, G.C. and Kumar, A. (2005) Explaining Consumer Acceptance of Handheld Internet Devices. Journal of Business Research, 58, 553-558. http://dx.doi.org/10.1016/j.jbusres.2003.08.002

[18]   Chin, M.-C. (1992) Research on Relationship among High School Teacher Mindset of Administration, Student Inner and Outer Control Beliefs and Student Learning Habits and Attitudes. Education Psychology and Research, 15, 129- 172.

[19]   Kin, W.-C. (2005) Research on Affection of Learning Attitudes for Students at Continued Education Program in Vocational High School. Master Thesis, Graduate School of Industrial Technology Education, National Kaohsiung Normal University, Kaohsiung.

[20]   Fang, T.-N. (2006) Influence of Learning Performance in Learning Attitude and Learning Strategy of Professional Course to Students with Different Backgrounds—Exemplified by Two-Year College Students Majoring in Industrial Design. Unpublished Thesis, Graduate School of Design, Taiwan University of Technology, Taipei.

[21]   Harrison, D.A., Mykytyn Jr., P.P. and Riemenschneider, C.K. (1997) Riemenschneider, Executive Decisions about Adoption of Information Technology in SmaBusiness: Theory and Empirical Tests. Information Systems Research, 8, 171-195. http://dx.doi.org/10.1287/isre.8.2.171

[22]   Hong, J.-C., et al. (2013) Using a “Prediction-Observation-Explanation” Inquiry Model to Enhance Student Interest and Intention to Continue Science Learning Predicted by Their Internet Cognitive Failure. Computers & Education, 72, 110-120. http://dx.doi.org/10.1016/j.compedu.2013.10.004

[23]   Guieford, J.P. (1965) Fundamental Statistics in Psychology and Education.

[24]   Wang, K. and Chang, C.-Y. (2012) Research on Integration of Attitude Measurement Models of Epistemic and Hedonic Values and Community Identity Establishment Social Websites. Information Management Journal.

[25]   Ebner, M. (2008) QR Code—The Business Card of Tomorrow? Proceeding FH Science Day, Linz, 6 November 2008, 431-435.

[26]   Pekrun, R., Goetz, T., Titz, W. and Perry, R.P. (2002) Academic Emotions in Students’ Self-Regulated Learning and Achievement: A Program of Qualitative and Quantitative Research. Educational Psychologist, 37, 91-105. http://dx.doi.org/10.1207/S15326985EP3702_4

 
 
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