Document Type : Research
Author
Abstract
The purpose of this study is investigating the factors affecting intention to online teaching among faculty members of payame Noor University. For this purpose, 630 members of Payame Noor University were selected by stratified random method. Eight measurement instruments that include: teaching philosophy, required time, computer experience, environmental support, computer self-efficacy, relative advantage, classroom innovation and intention to use online teaching, has been used. The results indicate that the initial model of study that was organized by using the available research record has suitable and acceptable fitness with obtained data (GFI=0.99, AGFI=0.97, CFI=0.99, NFI=0.95 and RMSEA= 0.021). Other results show that in investigating direct effects of variables on tendency of using technology and online training, the teaching philosophy has stronger predicting power as compared with other studied variables such as time and computer experience. The teaching philosophy of faculty member with intermediary role of all mentioned intermediary variables, is predicting tendency of faculty members to use online training. Faculty members computer self – efficacy is stronger predictor tendency of faculty members to use online training among all intermediary variables those effect directly on intention of using online training and compared with other variables. After than, in sequence, relative advantage of using online training and class innovation in using online training has most direct effect on tendency of using online training by faculty members.
Keywords
صیف، محمد حسن (1394). مدل علّی بسط یافته تمایل رفتاری به یادگیری تحت وب: نقش جهتگیری هدف یادگیری و یادگیری خودتنظیمی. پژوهش در یادگیری آموزشگاهی و مجازی. دوره3، شماره 9.
Ajzen, I. and Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice-Hall, Inc.
AKDEMIR, Omur. (2008). Teaching in online courses: Experiences of Instructional Technology Faculty Members. Turkish Online Journal of Distance Education. Volume: 9 Numbers.
Albalawi, Mohammed Saleh. (2007). Critical factors related to the implementation of web-based instruction by higher education faculty at three university in the kingdom of Saudi Arabia. A dissertation submitted to the Department of Instructional and Performance Technology College of Professional Studies The University of West Florida.
Alnujaidi, Sulaiman A. (2008). Factors Influencing English Language Faculty Members’ Adoption and Integration of Web-Based Instruction (WBI) in Saudi Arabia. Submitted to the Department of Curriculum and Teaching and the Faculty of the Graduate School of the University of Kansas.
Alsaif, Abdulkarim. (2005). The motivating and inhibiting Factors affecting the use of web based instruction of the university of Qassim in Saudi Arabia. Dissertation Submitted to the graduate School of Wayne state university.
AL-Senaidi. Said, Poirof. jin. (2009). Barriers to adopting technology for teaching and learning in Oman. computers and education (53).
Bandura, A. (1997). Self-Efficacy: The Exercise of Control. New York: W.H. Freeman and Company. Institute of Medicine, Washington, DC: National Academies Press. Retrieved 11/06/2006 from: http://fermat-.nap.edu/books/0309101476/html.
Brooks, L. (2004). How the attitudes of instructors, students, course administrators and course designer affects the quality of online learning environment online. Journal of distance learning administration. 6(4). Avialablefrom: http://www.westga.edu0/07edistance/ojdla/browsearticles.php.
Brown,G and Burg, J. (1998). A strategic plan for ubiquitous laptop computing. Communications of the ACM, 41,26-35.
Bryant, Frances LeAnna. (2008). Elementary teachers experiences with technology professional development and classroom technology integration. A Dissertation. Presented in Partial Fulfillment of Requirements for the Degree of Doctor of Philosophy.
Carroll, A.; Smith, S.; Compell. (2005). Transitioning from brick and mortar to online: A faculty perspective. Online journal of distance learning adminisration. 8 (1). from http://westa.edu.distance/ojdla/browse articles.php
Cartas, Rodolfo. (1998). The relationship between technology use by classroom teachers and Factors which promote innovation adaptation. Dissertation presented to university of southern California.
Chen, Yu –Li. (2008). Modeling the determinates of Internets use computer and education (51) pp:545-558.
Conrad, Edward D. (2009). Willingness to use innovations: A hybrid approach to employing diffusion of innovation and technology acceptance models. Submitted in Partial Fulfillment of the Requirements for the Southern Illinois University Carbondale.
Corvin, Anderson. (1998). Prediction of differences in computer use: universal adaptation of notebook computers at three undergraduate institutions. A dissertation Submitted to doctor of philosophy. Lowa state university.
Daugherty, M. & Funke, B. (1998). University faculty and student perceptions of Web-based instruction. Journal of Distance Education, 13(1), 21-39.
Davidson-Shivers, G.V. (2002). Instructional technology in higher education. In R. A. Raiser & J.V. Dempsey (Eds.), Trends and issues in instructional design and technology. Upper Saddle River, NJ: Merrill Prentice Hall.
Davis, F.D.; Bagozzi, R.P. & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
Gammil, Teresa. (2004). Factors associated with Faculty use of web based instruction in higher education. Dissertation Submitted in Mississippi state university. Graduate College of the Oklahoma State University.
Graff, Randy. (2008). Faculty perceptions of readiness to teach online. A dissertation Submitted to doctor of philosophy. Florida state university.
Gritter, Aaron. (2005). Belief Drives Action: How Teaching Philosophy Affects Technology Use in the Classroom. Paper Presented at the Annual Meeting of the New England Educational Research Organization, Northampton, MA.
Hill, J.R. (1997). Web-based learning environments: Guidelines for development and implementation. Journal of Public Services & Outreach, 2(3), 36-43.
Intharaksa, Us. (2009). USING DIFFUSION OF INNOVATION THEORY TO EXPLAIN THE DEGREE OF FACULTY ADOPTION OF WEB-BASED INSTRUCTION IN A THAI UNIVERSITY.
Kasier, Carrol. (1999). Searching for purpose : Teaching Finding Personal Meaning For computer usage in elementary Classroom. Dissertation Submitted at Syracuse university.
Leis, Amy. (2006). Factors affecting in- service early childhood teacher use of computer. dissertation submitted to the temple university.
Lie ,Amy. (2006). Factors affecting in Service early childhood teachers use of computers. Dissertation of doctor of philosophy , temple university.
Manguire, L.L. (2006). Literature reviwe: faculty participation in online distance education: Barriers and motivators. Millersuille university available from: http://www.westga.edu/dis-tance/ojdla/spring-/Maguire-81.htm.
Martin, Margaret Hill. (2003). Factors influencing faculty adoption of web based courses in teacher education program within the state university of New York. Dissertation submitted to the faculty of Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Doctor of Education.
Morris, M.G. & Dillon, A. (1997). How user perceptions influence software use. IEEE Softwar, July/August 1997, 58-64.
Pan, C. (2003). System use of WebCT in the light of the technology acceptance model: A student perspective. Unpublished doctoral dissertation, University of Central Florida, Orlando
Park, Tlyesung. (2004). Factors that affect Information technology adaptation by teacher. Dissertation presentes to Faculty university of Nebraska.
Park, Byungho. (2003). Faculty Adoption and Utilization of Web-Assisted Instruction (WAI) in Higher Education: Structural Equation Modeling (SEM). A Dissertation submitted to the THE FLORIDA STATE UNIVERSITY.
Powell, Jill. (2006). The Adaptation of K-12 Teachers to Online Teaching. A dissertation presented to the graduate school of the university of florida in partial fulfillment of the requirements.
Rogers, E.M. (1995). Diffusion of Innovations (4th Ed.). New York: The Free Press.
Scott, Schopieray. (2006). Understanding Faculty Motivation to teach online course. A dissertation Submitted to Michigan university.
Shiksuh, Soon. (2000). Factors affecting faculty members use web based in higher education. A Dissertation submitted to the THE FLORIDA STATE UNIVERSITY.
Usluel, Y.K.; Aşkar, P. & Baş, T. (2008). A Structural Equation Model for ICT Usage in Higher Education. Educational Technology & Society, 11 (2), 262-273.
Venkatesh, V. & Davis, F.D. (1996). A model of antecedents of perceived ease of use development and test. Decision Science. 27(3), 451-481.
Wallase, Povl R. (1998). A Study of the relationship between Innovation , the of teachers toward Using Internet and Internet usage. A dissertation presented for the Doctor of philosophy, the university of Tennessee.
Young berg, Elainc. (2006). Examining technology acceptance Variables for Professionally – autonomous end users of an enterprise component: An on – the – Job Surrey in gorerment-fonded incautious. A Dissertation Submitted in utah state university.
Zhen, Yurui. (2008). Investigating the factors affecting Factory Members decision to teach online in higher education. A thesis Submitted in partial Fulfillment of requirements for the degree of Doctor of philosophy, the university of mine.
)