Predicting E-Learning Application in Agricultural Higher Education Using Technology Acceptance Model

Volume: 9 Number: 1 March 1, 2008
Masoud Rezaeı , Hamid Movahed Mohammadı , Ali Asadı , Khalil Kalantary
EN

Predicting E-Learning Application in Agricultural Higher Education Using Technology Acceptance Model

Abstract

E-learning is significant breakthrough in teaching and learning. Internet or web technologies are important because they facilitate and enhance communications among instructors and learners and provide tools to encourage creativity and initiative. If internet-based learning environments are to benefit students, then it is important from the student’s perspective that they are not seen as overly complex and hard to use. The introduction of e-learning may hinder the learning process if the technology is perceived as being complex and not useful to enhanced performance, and thus a distraction to learning. In line with acceptance studies, this research proposed and tested students’ acceptance behavior of agricultural higher education for application of e-learning using technology acceptance model. Results demonstrated that there was positive relationship between students’ intention to use e-learning and its perceived usefulness, internet experience, computer self-efficacy and affect. Instead computer anxiety and age had negative relationship with students’ intention to use e-learning.

Keywords

E-Learning; Agricultural Higher Education; Technology Acceptance Model (TAM); computer anxiety; computer self-efficacy; affect.

References

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APA
Rezaeı, M., Mohammadı, H. M., Asadı, A., & Kalantary, K. (2008). Predicting E-Learning Application in Agricultural Higher Education Using Technology Acceptance Model. Turkish Online Journal of Distance Education, 9(1), 85-95. https://izlik.org/JA86CX85HX
AMA
1.Rezaeı M, Mohammadı HM, Asadı A, Kalantary K. Predicting E-Learning Application in Agricultural Higher Education Using Technology Acceptance Model. TOJDE. 2008;9(1):85-95. https://izlik.org/JA86CX85HX
Chicago
Rezaeı, Masoud, Hamid Movahed Mohammadı, Ali Asadı, and Khalil Kalantary. 2008. “Predicting E-Learning Application in Agricultural Higher Education Using Technology Acceptance Model”. Turkish Online Journal of Distance Education 9 (1): 85-95. https://izlik.org/JA86CX85HX.
EndNote
Rezaeı M, Mohammadı HM, Asadı A, Kalantary K (March 1, 2008) Predicting E-Learning Application in Agricultural Higher Education Using Technology Acceptance Model. Turkish Online Journal of Distance Education 9 1 85–95.
IEEE
[1]M. Rezaeı, H. M. Mohammadı, A. Asadı, and K. Kalantary, “Predicting E-Learning Application in Agricultural Higher Education Using Technology Acceptance Model”, TOJDE, vol. 9, no. 1, pp. 85–95, Mar. 2008, [Online]. Available: https://izlik.org/JA86CX85HX
ISNAD
Rezaeı, Masoud - Mohammadı, Hamid Movahed - Asadı, Ali - Kalantary, Khalil. “Predicting E-Learning Application in Agricultural Higher Education Using Technology Acceptance Model”. Turkish Online Journal of Distance Education 9/1 (March 1, 2008): 85-95. https://izlik.org/JA86CX85HX.
JAMA
1.Rezaeı M, Mohammadı HM, Asadı A, Kalantary K. Predicting E-Learning Application in Agricultural Higher Education Using Technology Acceptance Model. TOJDE. 2008;9:85–95.
MLA
Rezaeı, Masoud, et al. “Predicting E-Learning Application in Agricultural Higher Education Using Technology Acceptance Model”. Turkish Online Journal of Distance Education, vol. 9, no. 1, Mar. 2008, pp. 85-95, https://izlik.org/JA86CX85HX.
Vancouver
1.Masoud Rezaeı, Hamid Movahed Mohammadı, Ali Asadı, Khalil Kalantary. Predicting E-Learning Application in Agricultural Higher Education Using Technology Acceptance Model. TOJDE [Internet]. 2008 Mar. 1;9(1):85-9. Available from: https://izlik.org/JA86CX85HX