Investigating the IT Resources Key Factors in the Iraqi Higher Education Institutions: A Pilot Study
DOI:
https://doi.org/10.37134/jictie.vol4.7.2017Keywords:
e-learning, IT-readiness, higher education institutions, pilot studyAbstract
Integrating the new technologies to improve the current educational systems makes it compulsory to the higher education institutions to get use of the current IT resources in order to be able to transform the traditional education ways into the e-learning sytems. In Iraq, there are some antecedents facing the higher education institutions regarding the utilization of e-learning systems. In this paper, the researchers proposed a model of a relationship in which a quantitative research design was chosen to verify the proposed factors and construct the relationship among them. The main factors that may affect the IT readiness was declared as three categories: organisation, communication, and technological structure. These three aspects were found to affect the IT capacity and IT capability of the organization that offer the e-learning systems in order to assess the actual use of these systems in the Iraqi higher education institutions. In order to verify that a designed questionnaire, that is reliable and free of errors, two steps of verifications has been followed up. Firstly, a validation phase in which, the questionnaire checked by a panel of experts in the field of e-learning, the comments received was followed up before proceeding to the second phase. Secondly, a pilot study was conducted to check the reliability of the instrument. The collected data has been analysed using the Cronbach’s Alpha coefficient reliability test in SPSS 24 software package. The results showed that all factors are reliable as they gained a value of 0.7 and above in the test.
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References
Abdullah, I., & Hassan, Z. (2016). Cloud Technology Adoption Model: A Case of Iraqi SMES. Journal of Engineering and Applied Sciences, 11(3), 505–513.
Ahmed Fahad, Z. H. and Z. S. (2016). Barriers of Adopting E-Learning in Developing Countries. Journal of Engineering and Applied Sciences, 11(12), 2815–2820.
Alhadithi, A., IDRUS, R. M., & ELAMEER, A. S. (2011). Re-engineering Iraqi Higher Education with the E-Education Solutions. Recent Researches in Education, 37–42.
Archibugi, D., & Coco, A. (2005). Measuring technological capabilities at the country level: A survey and a menu for choice. Research Policy, 34(2), 175–194.
Aydin, C. H., & Tasci, D. (2005). Measuring readiness for e-learning: reflections from an emerging country. Journal of Educational Technology & Society, 8(4).
Bates, A. W. T. (2005). Technology, e-learning and distance education. Routledge.
Capricho, N. C., Obenque, M. M., & Musni, F. M. F. (2011). The Internet Connection as Academic-Services Provider: An Assessment of Technology’s Relevance to the Curriculum by the Student Internet Users. UIC Research Journal, 17(2), 1.
Chanyagorn, P., & Kungwannarongkun, B. (2011). ICT readiness assessment model for public and private organizations in developing country. International Journal of Information and Education Technology, 1(2), 99.
Cohen, L., Manion, L., & Morrison, K. (2013). Research methods in education. Psychology Press.
Cronbach, L. J. (1946). Response sets and test validity. Educational and Psychological Measurement, 6(4), 475–494.
Fahad, A., Hassan, Z., & Salman, Z. (2013). A study towards using E-learning based information technology resources for the development of students thinking skills in higher education. In Intelligent Systems Modelling & Simulation (ISMS), 2013 4th International Conference on (pp. 331–334). IEEE.
Fahad, A. N., Hassan, Z., Sulaiman, R. B., & Rahman, Z. (2015). Usability Evaluation of E-Learning Systems in the Iraqi Higher Education Institutions. International Journal of Internet of Things, 4(1A), 30–34.
George, D., & Mallery, M. (2003). Using SPSS for Windows step by step: a simple guide and reference.
Goodman, R., Meltzer, H., & Bailey, V. (1998). The Strengths and Difficulties Questionnaire: A pilot study on the validity of the self-report version. European Child & Adolescent Psychiatry, 7(3), 125–130.
Johanson, G. A., & Brooks, G. P. (2010). Initial scale development: sample size for pilot studies. Educational and Psychological Measurement, 70(3), 394–400.
Kadhum, A. M., & Hasan, M. K. (2017). Assessing the determinants of cloud computing services for utilizing health information systems: A case study. International Journal on Advanced Science, Engineering and Information Technology, 7(2), 503–510. https://doi.org/10.18517/ijaseit.7.2.1814
Khan, S. A., Bhatti, R., & Ahmad Khan, A. (2011). Use of ICT by Students: A Survey of Faculty of Education at IUB.
Kozma, R. B. (2008). Comparative analysis of policies for ICT in education. In International handbook of information technology in primary and secondary education (pp. 1083–1096). Springer.
Lewis, J. R. (1995). IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use. International Journal of Human‐ Computer Interaction, 7(1), 57–78.
Meri, A., Hasan, M. K., & Safie, N. (2017). Success factors affecting the healthcare professionals to utilize cloud computing services. Asia-Pacific Journal of Information Technology and Multimedia, 6(2), 31–42.
Meri, A., Hasan, M. K., & Safie, N. (in press). The Impact of Organizational Structure and System Settings on the Healthcare Individuals’ Perception to Utilize Cloud Services: A Theoretical Literature Survey. Journal of Engineering and Applied Sciences.
Meri, A., Hasan, M. K., & Safie, N. (in press). Towards Utilizing Cloud Health Information Systems: A Proposed Model. Journal of Engineering and Applied Sciences.
Mutula, S. M., & Van Brakel, P. (2006). An evaluation of e-readiness assessment tools with respect to information access: Towards an integrated information rich tool. International Journal of Information Management, 26(3), 212–223.
Nichols, M. (2008). Institutional perspectives: The challenges of e‐ learning diffusion. British Journal of Educational Technology, 39(4), 598–609.
Sekaran, U., & Bougie, R. (2010). Theoretical framework In theoretical framework and hypothesis development. Research Methods for Business: A Skill Building Approach. United Kingdom: Wiley.
Smith, R., & Studd, J. W. W. (1992). A pilot study of the effect upon multiple sclerosis of the menopause, hormone replacement therapy and the menstrual cycle. Journal of the Royal Society of Medicine, 85(10), 612–613.
Tallon, P. P. (2008). Inside the adaptive enterprise: an information technology capabilities perspective on business process agility. Information Technology and Management, 9(1), 21–36. https://doi.org/10.1007/s10799-007-0024-8
Tinio, V. L. (2003). ICT in Education. e-ASEAN Task Force.
UNESCO. (2011a). Information & Communication Technologies for Education. UNESCO Iraq Computer labs established to help integrate ICT in Education Retrieved 2-June, 2011, from http://www.unesco.org/en/iraqoffice/education-sector-atthe-unesco-office-foriraq/general-educati.
UNESCO. (2011b). Training Teachers for Sustainable Quality Education in Iraq. UNESCO Iraq Training of university professors in Iraq Retrieved 1-June, 2011, from http://www.unesco.org/en/iraq-office/educationsector-at-the-unescooffice-for-iraq/higher-education-iniraq/tra.
Usoro, A., Sharratt, M. W., Tsui, E., & Shekhar, S. (2007). Trust as an antecedent to knowledge sharing in virtual communities of practice. Knowledge Management Research & Practice, 5(3), 199–212.
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451–481.
Wright, K. B. (2005). Researching Internet based populations: Advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. Journal of Computer Mediated Communication, 10(3). https://doi.org/10.1111/j.1083-6101.2005.tb00259.x