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Education and Information Technologies

, Volume 24, Issue 1, pp 567–590 | Cite as

Technological aspect factors of E-learning readiness in higher education institutions: Delphi technique

  • Asma Ali Mosa Al-araibiEmail author
  • Mohd Naz’ri bin Mahrin
  • Rasimah Che Mohd Yusoff
Article
  • 117 Downloads

Abstract

E-learning is an educational method which aims to provide educational or training programs for students or trainees at any time and at any place using information and communication technology (ICT). Increasing numbers of higher education institutions have adopted e-learning in order to take advantage of the opportunities that it offers. Through e-learning, learners can access resources and information from anywhere and at any time. However, the successful implementation of e-learning relies on the readiness to be able to initiate this system because, without proper readiness, the project will probably fail. E-learning readiness refers to the assessment of how ready an institution is to adopt and implement e-learning. E-learning readiness helps higher education institutions to measure their stages of readiness, identify any gaps, and then redesign its strategy in order to adopt the e-learning system. One of the most important aspects of e-learning readiness is the technological aspect, which plays an important role in implementing an effective and efficient e-learning system. There is a lack of agreement about the factors that shape the technological aspects of e-learning readiness; hence, a clear gap has been identified in the knowledge on the technological aspects of e-learning readiness. The aim of this paper is to review the technological factors of e-learning readiness by performing the Delphi technique, and develop an initial model for technological aspects of e-learning readiness in higher education institutions. It is anticipated that this model can help institutions of higher education to identify and understand the technological aspects that must be considered when assessing the readiness to apply an e-learning project.

Keywords

E-learning readiness Technological aspect Assessing technological aspect Higher education institutions 

Notes

Acknowledgments

I would like to thank the experts’ panel of Delphi technique for their participation in this study, and their contribution to the results. I also would like to express my gratitude to the reviewers for their helpful comments which helped to improve the quality of the paper. I also have to thank my family members for their support in the completion of this paper.

References

  1. AbuSneineh, W., & Zairi, M. (2010). An evaluation framework for E-learning effectiveness in the Arab world. International encyclopedia of education, 521-535.Google Scholar
  2. Adams, M. K. (2004). Defining creative scholarship and identifying criteria for evaluating creative scholarship using a modified Delphi technique. (PhD), graduate school, University of Wyoming, Wyoming.Google Scholar
  3. Akins, R. B., Tolson, H., & Cole, B. R. (2005). Stability of response characteristics of a Delphi panel: Application of bootstrap data expansion. BMC Medical Research Methodology, 5(1), 37.CrossRefGoogle Scholar
  4. Al-araibi, A., Mahrin, M., & Yusoff, R. (2016). A systematic literature review of technological factors for E-learning readiness in higher education. Journal of Theoretical and Applied Information Technology, 93(2), 500–521.Google Scholar
  5. Albarrak, A. (2010). Designing E-learning Systems in Medical Education: A case study. International Journal of Excellence in Healthcare Management, 3(1), 1–8.Google Scholar
  6. Alhalfawi, W. (2006). Educational technology innovations in the information age. Amman: Alfekr House for Publishing and Distribution.Google Scholar
  7. Al-Masaud, K. A., & Gawad, A. M. A. (2014). Impediments of activating E-learning in higher education institutions in Saudi Arabia. (IJACSA). International Journal of Advanced Computer Science and Applications, 5(4), 12–18.Google Scholar
  8. Alshaher, A. (2013). The Mckinsey 7s model framework for E-learning system readiness assessment. International Journal of Advances in Engineering & Technology, 6(5).Google Scholar
  9. Andersson, A. S., & Grönlund, Å. (2009). A conceptual framework for E-learning in developing countries: A critical review of research challenges. The electronic Journal of information systems in developing Countries, 38(8), 1–16.CrossRefGoogle Scholar
  10. Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J., & Ciganek, A. (2012). Critical success factors for E-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers & Education, 58(2), 843–855.CrossRefGoogle Scholar
  11. Borotis, S., & Poulymenakou, A. (2004). E-learning readiness components: Key issues to consider before adopting E-learning interventions. In Paper presented at the world conference on E-learning in corporate, government, healthcare, and higher education. DC, USA.: Washington.Google Scholar
  12. Bowles, M. (2004). What is electronic learning? In M. Bowles (Ed.), Relearning to E-learn: Strategies for electronic learning and knowledge (pp. 3–19). Carlton, Vic: Melbourne Unversity Press.Google Scholar
  13. Bradley, L., & Stewart, K. (2003). A Delphi study of internet banking. Marketing Intelligence & Planning, 21(5), 272–281.CrossRefGoogle Scholar
  14. Butucha, K. (2013). School type and school setting differences in teachers perceptions of school culture. International Journal of Education and Research, 1(12).Google Scholar
  15. Choong, Y. L. (2006). A mapping approach to investigating information and communication technology (ICT) implementation during the building design process. (PhD), School of Property, construction and Project Management, RMIT University.Google Scholar
  16. Contreras, J., & Hilles, S. (2015). Assessment in E-learning environment readiness of teaching staff, administrators, and students of Faculty of Nursing-Benghazi University. International Journal of the Computer, the Internet and Management, 23(1), 53–58.Google Scholar
  17. Crance, J. H. (1987). Guidelines for using the Delphi technique to develop habitat suitability index curves. Fish and Wildlife Service: Retrieved from U.S.Google Scholar
  18. Esterhuyse, M., & Scholtz, B. (2015). Barriers to e-learning in a developing country: An explorative study. In Paper presented at the 9th IDIA conference, IDIA2015. Nungwi: Zanzibar.Google Scholar
  19. Fowles, J. (1978). Handbook of futures research. London: Greenwood Press.Google Scholar
  20. Hanafizadeh, P., & Ravasan, A. (2011). A McKinsey 7S model-based framework for ERP readiness assessment. International Journal of Enterprise Information Systems (IJEIS), 7(4), 23–63.CrossRefGoogle Scholar
  21. Horan, P. (2010). Developing an effectiveness evaluation framework for destination management systems. (PhD), Queen Margaret University.Google Scholar
  22. Hsu, C., & Sandford, B. (2007). The Delphi technique: Making sense of consensus. Practical Assessment, Research & Evaluation, 12(10), 1–8.Google Scholar
  23. Islam, N., Beer, M., & Slack, F. (2015). E-learning challenges faced by academics in higher education: A literature review. Journal of Education and Training Studies, 3(5), 102–112.CrossRefGoogle Scholar
  24. Keramati, A., Afshari-Mofrad, M., & Kamrani, A. (2011). The role of readiness factors in E-learning outcomes: An empirical study. Computers & Education, 57(3), 1919–1929.  https://doi.org/10.1016/j.compedu.2011.04.005.CrossRefGoogle Scholar
  25. Kituyi, G., & Tusubira, I. (2013). A framework for the integration of E-learning in higher education institutions in developing countries. International Journal of Education and Development using Information and Communication Technology, 9(2), 19.Google Scholar
  26. Kwofie, B., & Henten, A. (2011). The advantages and challenges of E-learning implementation: The story of a developing nation. In Paper presented at the WCES-2011 3rd world conference on education sciences. Turkey: Bahcesehir University, Istabul.Google Scholar
  27. Linstone, H., & Turoff, M. (1975). The Delphi method: Techniques and applications. Reading, MA: Addison-Wesley Publishing.zbMATHGoogle Scholar
  28. Mosa, A., Naz’ri bin, M., & Ibrrahim, R. (2016). Technological aspects of E-learning readiness in higher education: A review of the literature. Computer and Information Science, 9(1), 113.  https://doi.org/10.5539/cis.v9n1p113.CrossRefGoogle Scholar
  29. Mulugeta, S., & Buckley, S. (2015). Theoretical perspective: E-learning challenges and proposed framework in developing countries. In Paper presented at the 9th IDIA conference, IDIA2015. Nungwi: Zanzibar.Google Scholar
  30. Najib, N. A., & Rebhi, H. M. (2006). Computer Technology in Education. Gaza: Aafaq for Printing and Publishing.Google Scholar
  31. Naresh, B., & Reddy, B. S. (2015). Challenges and opportunity of E-learning in developed and developing countries: A review. International Journal of Emerging Research in Management & Technology, 4(6), 259–262.Google Scholar
  32. Nawaz, A., & Qureshi, Q. A. (2010). Eteaching/Epedagogy Threats & Opportunities for teachers in Heis. Global Journal of Management And Business Research, 10(9), 23–31.Google Scholar
  33. Nyandara, Z. (2012). Challenges and opportunities of technology based instruction in open and distance learning: A comparative study of Tanzania and China. Paper presented at the 5th UbuntuNet alliance annual conference.Google Scholar
  34. Odeh, A. (2011). The Problems of use Statistics in Analyzing Data for Scientific Theses and Dissertations Retrieved from http://nauss.edu.sa/Ar/CollegesAndCenters/HighEducationCollege/CollegeActivities/act10102011/Documents/014.pdf
  35. Odunaike, S., Olugbara, O., & Ojo, S. (2013). E-learning implementation critical success factors. Innovation, 3, 4.Google Scholar
  36. Ouma, G., Awuor, F., & Kyambo, B. (2013). E-learning readiness in public secondary schools in Kenya. European Journal of Open, Distance and E-learning, 16(2).Google Scholar
  37. Özad, B. (2012). Tertiary students’ attitudes towards using SNS. Paper presented at the the international conference on communication. Technology and Design, Istanbul, Turkey: Media.Google Scholar
  38. Parsazadeh, N., Zainuddin, N., Ali, R., & Hematian, A. (2013). A review on the success factors of E-learning. Paper presented at the The Second International Conference on e-Technologies and Networks for Development.Google Scholar
  39. Razak, N. A. (2003). Computer competency of in-service ESL teachers in Malaysian secondary schools. (doctoral thesis). Bangi: Universiti Kebangsaan Malaysia.Google Scholar
  40. Rezaei Mood, F. (2006). Challenges assessment and ways of implementing E-learning in Iran. (master), College of Technology, Sharif University of Technology, Iran.Google Scholar
  41. Sackman, H. (1975). Delphi critique. Lexington, Massachusetts: Lexington Book.Google Scholar
  42. Saginova, O., & Belyansky, V. (2008). Facilitating innovations in higher education in transition economies. International Journal of Educational Management, 22(4), 341–351.Google Scholar
  43. Skulmoski, G. J., Hartman, F. T., & Krahn, J. (2007). The Delphi method for graduate research. Journal of Information Technology Education, 6, 1–12.CrossRefGoogle Scholar
  44. Vegas, S., & Basili, V. (2005). A characterisation schema for software testing techniques. Empirical Software Engineering, 10(4), 437–466.CrossRefGoogle Scholar
  45. Vegas, S., Juristo, N., & Basili, V. (2003). Identifying Relevant Information for Testing Technique Selection: An instantiated Characterization Schema (Vol. 8): Springer Science & Business Media.Google Scholar
  46. Wang, S.-C., Cowie, B., & Jones, A. (2008). Challenges of E-learning for University Instructors in Taiwan. Paper presented at the The 16th International Conference on Computers in Education (ICCE 2008). Taipei, Taiwan.Google Scholar
  47. Yousuf, M. I. (2007). Using Experts’ Opinions Through Delphi Technique. Practical Assessment, Research & Evaluation, 12(4), 1-8.Google Scholar
  48. Ziglio, E. 1996. The Delphi method and its contribution to decision-making. In Adler, M. & Ziglio, E. (eds.) Gazing into the Oracle: The Delphi method and its application to social policy and public health. London: Jessica Kingsley Publishers.Google Scholar
  49. Zipfinger, S. (2007). Computer-aided Delphi: An experimental Study of Comparing Round-based with Real-time Implementation of the Method. Linz, Austria: Johannes-Kepler Universitat Linz.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Advanced Informatics SchoolUniversiti Teknologi Malaysia (UTM)Kuala LumpurMalaysia

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