Assessment of Gender-Based Differences in Cloud Resource Utilization among Secondary School Teachers in Cross River State, Nigeria

Michael Udey Udam (1), Peter Morah Ita (2), Obeten Okoi Oka (3)
(1) Lincoln University College, Malaysia
(2) College of Health Technology, Calabar, Nigeria
(3) Ebonyi State University, Abakaliki, Nigeria
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This paper assessed gender differences in the use of cloud resources by science teachers in Cross River State secondary schools, in Nigeria. A descriptive survey design was used for this study and participants were 487 science teachers who were randomly drawn through stratified sampling. A self-developed survey instrument comprising a set of questions on cloud resource usage and technology self-efficiency was used to obtain data. The study also showed that there was no significant relationship between gender and the use of cloud computing (t = 1.192, p = 0. 437) this implies that gender does not determine the use of cloud resources among Science teachers. The same applied to the use of cloud resources with no noteworthy difference between male and female science teachers (χ2 = 0.720, p > 0.05). These results imply that the gender differential in the adoption of educational technology may be decreasing in this regard, contrary to what has been observed in prior studies. The results presented herein are optimistic from an equity standpoint; however, they also provide a stimulus to future research that is aimed at exploring other variables that could shape the utilization of cloud resources in education, including support, training, and infrastructure. Hence, the study concludes by proposing Professional Development PD programs as well as policy changes aimed at enhancing equitable and effective utilization of cloud resources in science instruction while the findings may be useful for similar contexts in developing nations.

Adedokun-Shittu, N. A., & Shittu, A. J. K. (2015). Assessing the impacts of ICT deployment in teaching and learning in higher education: Using ICT impact assessment model. Journal of Applied Research in Higher Education, 7(2), 180-193.

Arpaci, I. (2017). Antecedents and consequences of cloud computing adoption in education to achieve knowledge management. Computers in Human Behavior, 70, 382-390.

Arpaci, I., Kilicer, K., & Bardakci, S. (2015). Effects of security and privacy concerns on educational use of cloud services. Computers in Human Behavior, 45, 93-98.

Cai, Z., Fan, X., & Du, J. (2017). Gender and attitudes toward technology use: A meta-analysis. Computers & Education, 105, 1-13.

Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211.

Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.

Ekon, E. E., & Eni, E. I. (2018). Utilization of ICT facilities for enhancing instructional delivery of science subjects in secondary schools in Cross River State, Nigeria. Global Journal of Educational Research, 17(1), 51-59.

Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2010). Teacher technology change: How knowledge, confidence, beliefs, and culture intersect. Journal of Research on Technology in Education, 42(3), 255-284.

Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers' intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. Educational Technology & Society, 21(3), 48-59.

Kvasny, L. (2006). Cultural (re)production of digital inequality in a US community technology initiative. Information, Communication & Society, 9(2), 160-181.

Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. National Institute of Standards and Technology.

Oluwole, D. A. (2015). Access to and use of information and communication technology (ICT) in Nigerian public schools: Implications for teaching and learning. Bulgarian Journal of Science and Education Policy, 9(2), 252-270.

Sultan, N. (2010). Cloud computing for education: A new dawn? International Journal of Information Management, 30(2), 109-116.

Teo, T., Fan, X., & Du, J. (2015). Technology acceptance among pre-service teachers: Does gender matter? Australasian Journal of Educational Technology, 31(3), 235-251.

Ton de Jong, Linn, M. C., & Zacharia, Z. C. (2013). Physical and virtual laboratories in science and engineering education. Science, 340(6130), 305-308.

Venkatesh, V., & Morris, M. G. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behaviour. MIS Quarterly, 24(1), 115-139.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.

Zheng, B., Lawrence, J., Warschauer, M., & Lin, C. H. (2015). Middle school students' writing and feedback in a cloud-based classroom environment. Technology, Knowledge and Learning, 20(2), 201-229.