Document Type : Research
Authors
Abstract
The aim of this research is analysis of the relation of the previous experience of computer with the performance in computer related-tasks with regard to the role of mediation of self-efficacy and computer anxiety which has been carried out with planning the conceptual model based on path analysis. For doing this, 282 undergraduate students (142 female and 140 male) from the Payame Noor University of Germi and bilesavar were selected through relative class sampling. They completed a questionnaire composed of a computer anxiety scale, a computer self - efficacy scale and a computer experiences questionnaire. Practical computer test scores were used to measure the performance of tasks connected to computer. The results showed that the previous computer experience has a significantly indirect effect on computer performance through the mediating role of computer anxiety and computer self-efficacy. Computer anxiety has a significantly indirect effect on computer performance with the mediation of computer self-efficacy. The suggested model has a good fitness with the research data and could also explain 0.72 of the computer performance variance.
Keywords
جهرمی، رضا قربان. (1388). "ارایه مدلی برای اضطراب رایانه، بر اساس باورهای معرفت شناختی و اهداف پیشرفت". مجله روان‌شناسی و علوم تربیتی. شماره 2 ص 101-121
قاضی طباطبایی، سید محمود. (1381). فرایند تدوین، اجرا و تفسیر ستاده‌های یک مدل لیزرل: یک مثال عینی، سالنامه پژوهش و ارزشیابی در علوم اجتماعی و رفتاری، جلد اول (به کوشش حسین رحمان سرشت)، انتشارات دانشگاه علامه طباطبایی، چاپ اول. تهران
Beckers, J.J. & Schmidt, H.G. (2001). The structure of computer anxiety: a six-factor model. Computers in Human Behavior, 17, 35-49.
Brosnan, M.J. (1998). The impact of computer anxiety and self-efficacy upon performance. Journal of Computer Assisted Learning, 14, 223–234.
Brosnan, M.J. & Lee, W.B. (1998). A cross-cultural comparison of gender differences in computer attitudes and anxieties: The United Kingdom and Hong Kong. Computers in Human Behavior, 4, 559–577.
Bozionelos, N. (2004). Socio-economic background and computer use: the role of computer anxiety and computer experience in their relationship. Int. J. Human-Computer Studies, 61, 725–746.
Beckers, J.J. & Schmidt, H.G. (2003). Computer experience and computer anxiety. Computers in Human Behavior, 19, 785–797.
Bandura, A. (1982). Self - efficacy in mechanism human agency. American Psychologist, 3, 122–147.
Barbeite, F.G. & Weiss, E.M. (2004). Computer self - efficacy and anxiety scales for an Internet sample: testing measurement equivalence of existing measures and development of new scales. Computers in Human Behavior, 20, 1–15.
Chua, S.L.; Chen, D.T. & Wong, A.F.L. (1999) Computer anxiety and its correlates: a meta-analysis. Computer is Human Behavior, 15, 609–623.
Colley, A.M.; Gale, M.T. & Harris, T.A. (1994). Effects of gender role identity and experience on computer attitude components. Journal of Educational Computing Research, 10, 129–137.
Compeau, D.R. & Higgins, C.A. (1995). Computer self - efficacy: development of a measure and initial test. MIS Quarterly, 19, 189–211.
Durndell, A.; Haag, Z. & Laithwaite, H.A. (2000). Computer self efficacy and gender: a cross cultural study of Scotland and Romania. Personality and Individual Differences, 28, 1037–1044.
Downey, J.P. & McMurtrey, M. (2007). Introducing task-based general computer self - efficacy: An empirical comparison of three general self - efficacy instruments. Interacting with Computers, 19, 382–396.
Garson, G.D. (2010). Path analysis (pa765statenote: an online text book): last updated: 2010 http://www2.chass-.ncsu.edu /garson/pa765/statnote.htm.
Gos, M.W. (1996). Computer anxiety and computer experience: A new look at an old relationship. Clearing House, 69, 266–271.
Johnson, R.D. (2005). An empirical investigation of sources of application-specific computer - self - efficacy and mediators of the efficacy-performance relationship. Int. J. Human - Computer Studies, 62, 737–758.
Joreskog, K.G. & Sorbom, D. (1993). LISREL 8: Structual Equation Modeling with the SIMPLIS command language: Scientific Software International.
Loyd, B.H. & Gressard, C. (1984). Reliability and factorial validity of computer attitude scales. Educational and Psychological Measurement, 44, 501–505.
Kline, R.B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford.
Marakas, G.M., Mun, Y.Y. & Johnson, R.D. (1998). The multilevel and multifaceted character of computer self-efficacy: toward clarification of the construct and an integrative framework for research. Information Systems Research, 9, 126–163.
Mahar, D.; Henderson, R. & Deane, F. (1997). The effects of computer anxiety, state anxiety, and computer experience on users’ performance of computer based tasks. Personality and Individual Differences, 22, 683–692.
Murphy, C.; Coover, D. & Owen, S. (1989). Development and validation of the computer self - efficacy scale. Educational and Psychological Measure-ment, 49, 893–899.
North, A.S. & Noyes, J.M. (2002). Gender influences on children’s computer attitudes and cognitions. Computers in Human Behavior, 18, 135–150.
Paraskeva, F.; Bouta, H. & Papagianni, A. (2008) Individual characteristics and computer self - efficacy in secondary education teachers to integrate technology in educational practice. Computers & Education, 50, 1084–1091.
Potosky, D. & Bobko, P. (1998). The Computer Understanding and Experience Scale: a self - report measure of computer experience. Computers in Human Behavior, 14, 337–348.
Todman, J. & Day, K. (2006). Computer anxiety: the role of psychological gender.Computers in Human Behavior, 22, 856–869
Smith, B.; Caputi, P.; Cittenden, N.; Jayasuriya, R. & Rawstorne, P. (1999). A review of the construct of computer experience. Computers in Human Behavior, 15, 227-242.
Todman, J. & Monaghan, E. (1994). Qualitative differences in computer experience, computer anxiety and students’ use of computers: A path model. Computers in Human Behavior, 10, 529–539.
Torkzadeh, G., Chang, J.C.C. & Demirhan., D. (2006). A contingency model of computer and Internet self-efficacy. Information & Management, 43,541–550
Todman, J. (2000). Gender differences in computer anxiety among university entrants since 1992. Computers & Education, 34, 27–35.
Wilfong, J.D. (2006). Computer anxiety and anger: the impact of computer use, computer experience, and self-efficacy beliefs. Computers in Human Behavior, 22, 1001–1011.
Wood, R. & Bandura, A. (1989). Impact of conceptions of ability on self-regulatory mechanisms and complex decision making. Journal of Personality and Social Psychology, 56(3), 407–415.
Wang, A.Y. & Newlin, M.H. (2002). Predictors of web - student performance: the role of self - efficacy and reasons for taking an on-line class. Computers in Human Behavior, 18, 151–163.
Woodrow, J. (1991). A comparison of four computer attitude scales. Journal of Educational Computing Research, 7 (2), 165–187.
)