Factors Affecting Faculty Attitude for Adopting Online Learning at Aljouf University, Saudi Arabia
ARTICLE
Salim M. Alanazy
Journal of Education and Learning Volume 7, Number 1, ISSN 1927-5250
Abstract
This study aims to take an initial step toward investigating the readiness of faculty members for adopting online learning at Aljouf University, a Saudi newly established university. Participants (n = 156) were asked to complete a Web-based questionnaire that starts with eight demographic questions and has four other parts: attitude toward online learning, computer self-efficacy, attitude toward technology, and computer anxiety. The results demonstrate that faculty members show positive attitudes toward online learning (M = 3.03, SD = 0.45). They also showed a slight high computer self-efficiency (M = 2.92, SD = 0.40), positive attitudes toward technology (M = 3.10, SD = 0.33), and a low level of computer anxiety (M = 1.05, SD = 0.38). Finally, the results reveal that among the demographic variables, only the nationality of the participants and their experience with online learning had a significant effect on their attitude toward online learning. The study concluded with providing a number of recommendations for application and future studies.
Citation
Alanazy, S.M. (2018). Factors Affecting Faculty Attitude for Adopting Online Learning at Aljouf University, Saudi Arabia. Journal of Education and Learning, 7(1), 154-162. Retrieved April 1, 2023 from https://www.learntechlib.org/p/190702/.

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.
Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.
Keywords
References
View References & Citations Map- Albion, P.R., & Ertmer, P.A. (2002). Beyond the foundations: The role of vision and beliefs in teachers’ preparation for integration of technology. Tech Trends, 46(5), 34-38. Https://doi.org/10.1007/BF02818306
- Al-Harbi, K.A.-S. (2011). E-Learning in the Saudi tertiary education: Potential and challenges. Applied Computing and Informatics, 9(1), 31-46.
- Al-Khalifa, H.S. (2009). The State of Distance Education in Saudi Arabia. ELearn, 2009(10), 9.
- Arani, A.M. (2016). Researching Shadow Education in Iran: Methodological Experiences in an Islamic Republic Researching Private Supplementary Tutoring (pp. 133-146). Springer International Publishing.
- Askar, P., & Umay, A. (2001). Perceived computer self-efficacy of the students in the elementary mathematics teaching programme. Hacettepe University. The Journal of Education, 21(1-8).
- Bandura, A. (1997). Self Edddicau The exercise of control. New York: Freeman.
- Brosnam, M.J. (1998). The impact of computer anxiety and self-efficacy upon performance. Journal of Computer Assisted Learning, 14(3), 223-234.
- Busch, T. (1995). Gender Differences in Self-Efficacy and Attitudes Toward Computers. Journal of Educational Computing Research, 12(2), 147-158. Https://doi.org/10.2190/H7E1-XMM7-GU9B-3HWR
- Celik, V., & Yesilyurt, E. (2013). Attitudes to technology, perceived computer self-efficacy and computer anxiety as predictors of computer supported education. Computers & Education, 60(1), 148-158.
- Fives, H. (2003). What is teacher efficacy and how does it relate to teachers’ knowledge? A theoretical review: The University of Maryland Paper presented at the American Educational Research Association Annual Conference, Chicago IL.
- Gibson, C.C. (1996). Toward an understanding of academic self‐concept in distance education. American Journal of Distance Education, 10(1), 23-36. Https://doi.org/10.1080/08923649609526907
- Gorder, L. (2008). A study of teacher perceptions of instructional technology integration in the classroom. Delta Pi Epsilon Journal, 50(2), 21-76.
- Imhof, M., Vollmeyer, R., & Beierlein, C. (2007). Computer use and the gender gap: The issue of access, use, motivation, and performance. Computers in Human Behavior, 23(6), 2823-2837.
- Miura, I.T. (1987). The relationship of computer self-efficacy expectations to computer interest and course enrollment in college. Sex Roles, 16(5-6), 303-311.
- Papagianni, A., Bouta, H., & Paraskeva. F. (2008). Individual characteristics and computer self-efficacy in secondary education teachers to integrate technology in educational practice. Computers & Education, 50, 1084-1091. Https://doi.org/10.1016/J.compedu.2006.10.006
- 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(3), 1084-1091. Https://doi.org/10.1016/J.compedu.2006.10.006
- Saadé, R.G., & Kira, D. (2009). Computer anxiety in e-learning: The effect of computer self-efficacy. Journal of Information Technology Education, 8, 177-191.
- Simsek, A. (2011). The Relationship between Computer Anxiety and Computer Self-Efficacy. Contemporary Educational Technology, 177-187.
- Strickland, J., Powell, A., & Ray, B.B. (2006). Technology Integration and the Preservice Teacher: A Roadmap for Reflection and Observation During Early Field Experiences. Teaching & Learning, 21(1), 29-58.
- Thompson Manning, D. (1987). Historical Lessons for Teacher Education. Journal of Teacher Education, 38(6), 20-24.
- Webster, J., & Martocchio, J.J. (1992). Microcomputer Playfulness: Development of a Measure with Workplace Implications. MIS Quarterly, 16(2), 201.
- Witt, L., Powell, T., McNeill, S.J., Gainey, B.S., Aust, P.J., & Carison, C.S. (2012). “Which Technology Should I Use to Teach Online?”: Online Technology and Communication Course Instruction. MERLOT Journal of Online Learning and Teaching, 8(4), 334-347.
- Yavuz, S. (2005). Developing a technology attitude scale for pre-service chemistry teachers. The Turkish Online Journal of Educational Technology, 4(1), 17-25.
These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.
Suggest Corrections to References