Skip to main content

Advertisement

Log in

An assessment of online instructor e-learning readiness before, during, and after course delivery

  • Published:
Journal of Computing in Higher Education Aims and scope Submit manuscript

Abstract

Online instructors in higher education play a key role in the success or failure of electronic learning systems (ELSs). Their expertise in and use of technology tools in ELSs influence the quality of information presented, their system use and satisfaction during course delivery. This study adapted Holsapple and Lee-Post’s (Decis Sci J Innov Educ 4(1):67–85, 2006) model to examine online instructor e-learning readiness (e-readiness) at the online campus of a Caribbean university, and to assess their levels of e-readiness and impact before, during and after course delivery. Responses from 208 online instructors were analysed from an online survey. Results show that while the cohort was 90.6 % e-ready, only 72.6 % were individually e-ready by having access to a dedicated network connection for substantial periods of time, routinely communicating with persons using electronic technologies, being self-motivated and independent learners, with a predisposition towards embracing and using new technologies. During the pre-course phase, online instructor e-readiness had a moderate impact on both technical (ELS quality and service quality) and non-technical (information quality) aspects of the ELS. During course delivery, its influence decreased with the technical aspect (ELS use) but increased with the non-technical aspect of the course (instructor satisfaction). At course completion, the main benefit was enhanced teaching skills while lack of contact with others was the main challenge. The results could be used to identify characteristics of online instructors suitable for the online environment, monitor their impact during the phases of a course, and serve as a benchmark for comparing levels of e-readiness across institutions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Adeyinka, T., & Mutula, S. (2010). A proposed model for evaluating success of WebCT course content management system. Computers in Human Behavior, 26(6), 1795–1805.

    Article  Google Scholar 

  • Akaslan, D., & Law, E. L.-C. (2011). Measuring teachers’ readiness for e-learning in higher education institutions associated with the subject of electricity in Turkey. Paper presented at the IEEE EDUCON Education Engineering 2011, Amman, Jordan.

  • Al-Busaidi, K., & Al-Shihi, H. (2012). Key factors to instructors’ satisfaction of learning management systems in blended learning. Journal of Computing in Higher Education, 24(1), 18–39. doi:10.1007/s12528-011-9051-x.

    Article  Google Scholar 

  • Alfadly, A. A. (2013). The efficiency of the “Learning Management System (LMS)” in AOU, Kuwait, as a communication tool in an E-learning system. International Journal of Educational Management, 27(2), 157–169.

    Google Scholar 

  • Assareh, A., & Bidokht, M. H. (2011). Barriers to e-teaching and e-learning. Procedia Computer Science, 3, 791–795.

    Article  Google Scholar 

  • Aydin, C. H., & Tasci, D. (2005). Measuring readiness for e-learning: Reflections from an emerging country. Educational Technology and Society, 8(4), 244–257.

    Google Scholar 

  • Bhuasiri, W., Xaymoungkhou, O., Zo, H., Rho, J. J., & Ciganek, A. P. (2012). Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers & Education, 58(2), 843–855.

    Article  Google Scholar 

  • Darab, B., & Montazer, G. A. (2011). An eclectic model for assessing e-learning readiness in the Iranian univerisities. Computers & Education, 56(3), 900–910.

    Article  Google Scholar 

  • DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30.

    Google Scholar 

  • DeLone, W. H., & McLean, E. R. (2004). Measuring e-commerce success: Applying the DeLone and McLean information systems success model. International Journal of Electronic Commerce, 9(1), 31–47.

    Google Scholar 

  • Ditimi, A., & Ayanda, D. (2013). A comparative analysis of e-readiness assessment in Nigerian private universities and its impact on educational development. Information and Knowledge Management, 3(11), 30–38.

    Google Scholar 

  • Emelyanova, N., & Voronina, E. (2014). Introducing a learning management system at a Russian university: Students’ and teachers’ perceptions. The International Review of Research in Open and Distance Learning, 15(1), 273–289.

    Google Scholar 

  • Eom, S. (2012). Testing the Seddon model of information system success in an e-learning context: Implications for evaluating DSS. In Decision support systems II-recent developments applied to DSS network environments (pp. 19–33). Berlin, Heidelberg: Springer.

  • Freeze, R. D., Alshare, K. A., Lane, P. L., & Wen, H. J. (2010). IS success model in e-learning context based on students’ perceptions. Journal of Information Systems Education, 21(2), 173–184.

    Google Scholar 

  • George, G., & Mallery, P. (2003). SPSS for windows step by step: A simple guide and reference, 11.0. Boston, MA: Allyn & Bacon.

    Google Scholar 

  • Hashim, H., & Tasir, Z. (2014). E-learning readiness: A literature review. Paper presented at the 2014 international conference on teaching and learning in computing and engineering (LaTiCE), Kuching.

  • Hiltz, S. R., Kim, E., & Shea, P. (2007). Faculty motivators and de-motivators for teaching online: Results of focus group interviews at one university. Paper presented at the proceedings of the 40th annual Hawaii international conference on system sciences.

  • Holsapple, C. W., & Lee-Post, A. (2006). Defining, assessing, and promoting e-learning success: An information systems perspective. Decision Sciences Journal of Innovative Education, 4(1), 67–85.

    Article  Google Scholar 

  • Hung, W.-H., Chang, L.-M., Lin, C.-P., & Hsiao, C.-H. (2014). E-readiness of website acceptance and implementation in SMEs. Computers in Human Behavior, 40, 44–55.

    Article  Google Scholar 

  • Infinedo, P. (2005). Measuring Africa’s e-readiness in the global networked economy: A nine-country data analysis. International Journal of Education and Development using ICT, 1(1), 53–71.

    Google Scholar 

  • Kaur, K., & Abas, Z. W. (2004). An assessment of e-learning readiness at Open University Malaysia. Paper presented at the international conference on computers in education (ICCE), Melbourne.

  • 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.

    Article  Google Scholar 

  • Klobas, J. E., & McGill, T. J. (2010). The role of involvement in learning management system success. Journal of Computing in Higher Education, 22(2), 114–134.

    Article  Google Scholar 

  • Labach, E. J. (2011). The Impact of web-based instruction on faculty in higher education institutions: New Directions for research. International Journal of Business and Social Science, 2(24), 49–57.

    Google Scholar 

  • Larbi-Apau, J. A., & Moseley, J. L. (2012). Computer attitude of teaching faculty: Implications for technology-based performance in higher education. Journal of Information Technology Education Research, 11, 221–233.

    Google Scholar 

  • Levy, Y. (2006). Assessing the value of e-learning systems. Hershey, PA: Information Science.

    Book  Google Scholar 

  • Liaw, S.-S., Huang, H.-M., & Chen, G.-D. (2007). Surveying instructor and learner attitudes toward e-learning. Computers & Education, 49(4), 1066–1080.

    Article  Google Scholar 

  • Lin, H.-F. (2007). Measuring online learning systems success: Applying the updated DeLone and McLean model. CyberPsychology & Behavior, 10(6), 817–820.

    Article  Google Scholar 

  • Linos, M. (2014). Online student readiness: Preparing students to survive and thrive in distance learning. Paper presented at the 20th annual online learning consortium international conference, Buena Vista, Florida. http://olc.onlinelearningconsortium.org/conference/2014/aln/online-student-readiness-prepare-students-survive-and-thrive-distance-learning.

  • Lloyd, S. A., Byrne, M. M., & McCoy, T. S. (2012). Faculty-perceived barriers of online education. MERLOT Journal of Online Learning and Teaching, 8(1), 1–12.

    Google Scholar 

  • Loomis, K. D. (2000). Learning styles and asynchronous learning: Comparing the LASSI model to class performance. Journal of Asynchronous Learning Networks, 4. http://www.aln.org/alnweb/journal/vol4_issue1/loomis.htm.

  • Lou, E. C. W., & Goulding, J. S. (2010). The pervasiveness of e-readiness in the global built environment arena. Journal of Systems and Information Technology, 12(3), 180–195.

    Article  Google Scholar 

  • Mandernach, B. J., Mason, T., Forrest, K. D., & Hackathorn, J. (2012). Faculty views on the appropriateness of teaching undergraduate psychology courses online. Teaching of Psychology, 39(3), 203–208. doi:10.1177/0098628312450437.

    Article  Google Scholar 

  • Maugis, V., Choucri, N., Madnick, S., Siegel, M., Gillett, S., Haghseta, F., et al. (2005). Global e-readiness—For what? Readiness for e-banking. Information Technology for Development, 11(4), 313–342.

    Article  Google Scholar 

  • McGill, T., Klobas, J., & Renzi, S. (2011). LMS use and instructor performance: The role of task-technology fit. International Journal on E-Learning, 10(1), 43–62.

    Article  Google Scholar 

  • Menchaca, M. P., & Bekele, T. A. (2008). Learner and instructor identified success factors in distance education. Distance Education, 29(3), 231–252.

    Article  Google Scholar 

  • Motaghian, H., Hassanzadeh, A., & Moghadam, D. K. (2013). Factors affecting university instructors’ adoption of web-based learning systems: Case study of Iran. Computers & Education, 61(1), 158–167.

    Article  Google Scholar 

  • Mutala, 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.

    Article  Google Scholar 

  • Ozkan, S., & Koseler, R. (2009). Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation. Computers & Education, 53(4), 1285–1296. doi:10.1016/j.compedu.2009.06.011.

    Article  Google Scholar 

  • Panda, S., & Mishra, S. (2007). E-learning in a mega open university: Faculty attitude, barriers and motivators. Educational Media International, 44(4), 323–338.

    Article  Google Scholar 

  • Parkes, M., Stein, S., & Reading, C. (2015). Student preparedness for university e-learning environments. The Internet and Higher Education, 25(1), 1–10.

    Article  Google Scholar 

  • Petter, S., & McLean, E. R. (2009). A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information & Management, 46(3), 159–166.

    Article  Google Scholar 

  • Pillay, H., Irving, K., & Tones, M. (2007). Validation of the diagnostic tool for assessing tertiary students’ readiness for online learning. Higher Education Research & Development, 26(2), 217–234. doi:10.1080/07294360701310821.

    Article  Google Scholar 

  • Purnomo, S. H., & Lee, Y.-H. (2010). An assessment of readiness and barriers towards ICT program implementation: Perceptions of agricultural extension officers in Indonesia. International Journal of Education and Development using ICT, 6(3), 19–36.

    Google Scholar 

  • Schreurs, J., Ehlers, U.-D., & Sammour, G. (2008). E-learning readiness analysis (ERA): An e-health case study of e-learning readiness. International Journal of Knowledge and Learning, 4(5), 496–508.

    Article  Google Scholar 

  • Sekaran, U. (2003). Research methods for business: A skill building approach (4th ed.). Hoboken, NJ: Wiley.

    Google Scholar 

  • So, T., & Swatman, P. (2010). Assessing e-learning readiness of teachers and schools in Hong Kong. Paper presented at the Global Learn Asia Pacific 2010.

  • Summak, M. S., Baghbel, M., & Samancioglu, M. (2010). Technology readiness of primary school teachers: A case study in Turkey. Procedia Social and Behavioral Sciences, 2, 2671–2675.

    Article  Google Scholar 

  • Tella, A., Mutula, S. M., Mutshewa, A., & Totolo, A. (2010). An evaluation of WebCT course content management system at the university of Botswana. International Journal of E-Adoption, 2(2), 48–78.

    Article  Google Scholar 

  • The World Bank. (2005). E-ready for what? E-readiness in developing countries: Current status and prospects toward the millennium development goals (p. 253). Washington, DC: The World Bank.

    Google Scholar 

  • van Zyl, J. M., Els, C. J., & Blignaut, A. S. (2013). Development of ODL in a newly industrialised country according to face-to-face contact, ICT, and e-readiness. The International Review of Research in Open and Distance Learning, 14(1), 84–105.

    Google Scholar 

  • Wang, W.-T., & Wang, C.-C. (2009). An empirical study of instructor adoption of web-based learning systems. Computers & Education, 3(53), 761–774.

    Article  Google Scholar 

  • Wang, Y. S., Wang, H. Y., & Shee, D. Y. (2007). Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in Human Behavior, 23(4), 1792.

    Article  Google Scholar 

  • Wasilik, O., & Bolliger, D. U. (2009). Faculty satisfaction in the online environment: An institutional study. The Internet and Higher Education, 12(3–4), 173–178.

    Article  Google Scholar 

  • Watkins, R., Leigh, D., & Triner, D. (2004). Assessing Readiness for E-Learning. Performance Improvement Quarterly, 17(4), 66–79.

    Article  Google Scholar 

  • World Economic Forum. (2012). The networked readiness index 2012: Benchmarking ICT progress and impacts for the next decade. Geneva: World Economic Forum.

    Google Scholar 

  • Yadollahi, S., Izadparast, M., & Rahimi, M. (2013). An assessment of the e-learning readiness among EFL university students and its relationship with their English proficiency. Paper presented at the fourth international conference on e-learning and e-teaching (ICELET), 2013 Shiraz.

  • Yengin, I., Karahoca, A., & Karahoca, D. (2011). E-learning success model for instructors’ satisfaction in perpectiveof interaction and usability outcomes. Procedia Computer Science, 3, 1396–1403.

    Article  Google Scholar 

  • Zhang, K., & Hung, J.-L. (2009). E-learning in supplemental educational systems in Taiwan: Present status and future challenges. International Journal on E-Learning, 8(4), 479–494.

    Google Scholar 

Download references

Acknowledgments

The author acknowledges with appreciation, all online instructors who participated in the study, as well as Anita Lee-Post for granting permission to use and adapt the e-readiness survey. The author also sincerely thanks to Dr. Laurie Dringus who boosted my interest in research and the anonymous reviewers for their very useful comments which significantly improved the quality of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Glenda H. E. Gay.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gay, G.H.E. An assessment of online instructor e-learning readiness before, during, and after course delivery. J Comput High Educ 28, 199–220 (2016). https://doi.org/10.1007/s12528-016-9115-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12528-016-9115-z

Keywords

Navigation