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Development of Blended Learning Model based on the Perceptions of Students at Higher Education Institutes in Oman

by Virendra Gawande
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 1
Year of Publication: 2015
Authors: Virendra Gawande
10.5120/19946-1747

Virendra Gawande . Development of Blended Learning Model based on the Perceptions of Students at Higher Education Institutes in Oman. International Journal of Computer Applications. 114, 1 ( March 2015), 38-45. DOI=10.5120/19946-1747

@article{ 10.5120/19946-1747,
author = { Virendra Gawande },
title = { Development of Blended Learning Model based on the Perceptions of Students at Higher Education Institutes in Oman },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 1 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 38-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number1/19946-1747/ },
doi = { 10.5120/19946-1747 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:51:35.680757+05:30
%A Virendra Gawande
%T Development of Blended Learning Model based on the Perceptions of Students at Higher Education Institutes in Oman
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 1
%P 38-45
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In a traditional and rich society like in Oman, higher education offers several unique circumstances that suggest that, curriculum delivery using blended learning is a rational choice. The purpose of this study was to identify the factors affecting blended learning adoption and whether learning process was predictive in its adoption process at College of Applied Sciences (CAS) in Oman. The present study adopted quantitative approach that was aimed to examine the effect of students learning process and students learning style on blended learning. The findings of this study revealed that in particular, the Competitive and Facilitator style significantly mediated the relationship of User Acceptance of Technology and Blended Learning adoption. Further, the demographic factors like student's gender, age and computer experience does also significantly influenced the blended learning adoption. Blended learning design in the theoretical framework may enhance the interactions in learning environment and effective learning can be promoted through greater flexibility which may also allow the use of various learning styles.

References
  1. Adkins, S. , 2011. We Put Research into Practice. Online Research paper, http://www. ambientinsight. com/Resources/Documents/AmbientInsight_2007-2012_Corporate_LearningServices_Market_ExecOverview. pdf
  2. Akour, H. , 2009. Determinants Of Mobile Learning Acceptance: An Empirical nvestigation In Higher Education. Research paper, Oklahoma State University.
  3. Alebaikan, R. 2010. Perceptions of blended learning in Saudi universities. Doctor of Philosophy Thesis, University of Exeter.
  4. Allen, I. E. and Seaman, J. 2010. Learning on demand: Online education in the United States, 2009. Newburyport, MA: The Sloan Consortium. http://sloanconsortium. org/publications/survey/learning_on_demand_sr2010.
  5. Anderson, J. E. , Schwager, P. and Kerns, R. 2006. The drivers of acceptance of tablet PCs by faculty in a college of business. Journal of Information Systems Education, 17 (4), 429-440.
  6. Bandyopadhyay, K. and Fraccastoro, K. 2007. The effect of culture on user acceptance of information technology. Communications of the Association for Information Systems, 19 (1), 522-543.
  7. Bigne, E. , Ruiz, C. and Sanz, S. 2005. The Impact Of Internet User Shopping Patterns and Demographics on Consumer Mobile Buying Behaviour. Journal of Electronic Commerce Research, 6(3): 193-210.
  8. Bostrom, R. P. , Olfman, L. and SeinM. K. 1990. The Importance of Learning Style in End-User Training. MIS Quarterly, 101-119.
  9. Cavus, N. , Bicen, H. and Akeil, U. 2008. The opinions of information technology students on using mobile learning. In the proceedings of 2008 International Conferences on Educational Sciences, 228-325.
  10. Chan, D. 2011. A comparison of traditional and blended learning in introductory principles of accounting course. American Journal of Business Education, 4 (9), 1-10.
  11. Cohere. 2011. Innovative practices, Research project, Cohere report on blended learning. Human Resources and Skills Development, Canada.
  12. Cuieford, J. P. 1965. Fundamental Statistics in Psychology and Education (4th ed. ). McGraw-Hill, New York.
  13. Dillman, D. A. 2000. Procedures for conducting government-sponsored establishment surveys: comparisons of the Total design Method (TDM),A Trational Cost-Compensation Model, and Tailored Design, 343–372.
  14. Farida Umrani-Khan and Sridhar iyer. ELAM: A Model for Acceptance and use of e-learning by Teachers and Students. International conference on e-learning, Toronto, Canada, July, 2009.
  15. Fearson, C. , Starr, S. and McLaughlin, H. 2011. Value of blended learning in university and the workplace: Some experiences of university students. Industrial and Commercial Training, 43 (7), 446-450. http://dx. doi. org/10. 1108/00197851111171872.
  16. Fritz, M. S. , & Mackinnon, D. P. 2007. Required sample size to detect the mediated effect. Psychological Sxience, 18(3), 233-9. doi: 10. 11 11/j. 1467-9280. 2007. 01882. x
  17. Graham, C. 2006. Blended learning systems: definition, current trends, and future directions. In: Bonk, C. and Graham, C. (Eds. ), Handbook of blended learning: global perspectives, local designs. San Francisco, CA: Pfeiffer.
  18. IBM Corp. Released 2012, version 21. 0, Armonk, NY: IBM Corp, http://www-01. ibm. com/support/docview. wss?uid=swg27024941
  19. Jones, S. , Johnson-Yale, C. , Millermaier, S. and Perez, F. S. 2008. Academic work, the Internet and US college students. Internet and Higher Education, 11, 165–177.
  20. Li, J. P. and R. Kishore, 2006. How Robust is the UTAUT Instrument? A multigroup Invariance Analysis in the Context of Acceptance and Use of Online Community Weblog Systems. In the Proceedings of the 2006 ACM SIGMIS CPR Conference, 183-189.
  21. Lopez-Perez, V. M. , Perez-Lopez, C. M. and Rodriguez-Ariza, L. 2011. Blended learning in higher education: Students' perceptions and their relation to outcomes. Computers and Education, 56(3), 818-826. http://dx. doi. org/10. 1016/j. compedu. 2010. 10. 023
  22. Lu, J. , Yu, C. S. and Liu, C. 2009. Mobile data service demographics in urban China. Journal of Computer Information Systems, 50(2), 117-126.
  23. Lynch, T. G. , Steele, D. J. , Johnson Palensky, J. E. , Lacy, N. L. and Duffy, S. W. 2001. Learning preferences, computer attitudes, and test performance with computer-aided instruction. American Journal of Surgery, 181, 368-371.
  24. Lynch, T. G. , Woelfl, N. N. , Steele, D. J. and Hanssen, C. S. (1998), 'Learning style influences student examination performance. American Journal of Surgery, 176, 62-66.
  25. McCray, G. E. 2000. The hybrid course: Merging on-line instruction and the traditional classroom. Information Technology and Management, 1, 307-327.
  26. Norberg, A. , Dziuban, C. D. and Moskal, P. D. 2011. A time-based blended learning model. On the Horizon, 19, 207-216. http://www. emeraldinsight. com/loi/oth
  27. Nunnally, T. 1978. Psychometric Theory, New York: McGraw Hill.
  28. Patton, M. Q. 1990. Qualitative evaluation and research methods. 2nd ed. Newbury Park, CA: Sage
  29. Picciano, A. G. 2009. Blending with purpose: the multimodal model. Journal of the ResearchCenter for Educational Technology, 5(1), 4-14.
  30. Roberts, G. R. , 2005. Technology and Learning Expectations of the Net Generation. On Line Research Paper, http://www. educause. edu/ research-and-publications/books/educating-net-generation/technology-and-learning-expectations-net-generation
  31. Ross, B. and Gage, K. 2006. Global perspectives on blending learning: Insight from WebCT and our customers in higher education. In Bonk, C. J. and Graham, C. R. (Eds. ), Handbook of blended learning: Global perspectives, local designs, San Francisco, CA: Pfeiffer Publishing, 155- 168.
  32. Sharples, M. 2005. Learning as conversation: Transforming Education in the Mobileage. Educase Online, www. eee. bham. ac. uk/sharplem/Papers/Theory%20of%20learning%20Budapest. pdf
  33. Stacey, E. and Gerbic, P. 2009. Introduction to blended learning practices. In: Stacey, E. & Gerbic, P. (Eds. ), Effective blended learning practices: evidence-based in perspectives in ICT-facilitated education, Hershey, PA: IGI Global.
  34. Su, B. , Bonk, C. J. , Magjuka, R. J. , Liu, X. and Lee, S. 2005. The importance of interaction in web-based education: A program-level case study of online MBA courses. J. Interactive Online Learning, 4, 1-18.
  35. Tan, Z. and Ouyang, W. 2004. Diffusion and Impacts of the Internet and E-Commerce in China. Electronic Markets, 14(1), 25-35.
  36. Triandis, H. C. , 1995. Individualism and collectivism, Boulder, CO: Westview.
  37. Umrani-Khan, F. and Iyer, S. 2009. ELAM: A model for acceptance and use of e-learning by teachers and students. Proceedings of the 4th International Conference on E-Learning. University of Toronto, Canada, 1-25.
  38. Van Dover, L. and Boblin, S. 1991. Student nurse computer experience and preferences for learning. Computers in Nursing, 9, 75-79.
  39. Venkatesh, V. , Morris, M. G. , Davis, G. B. and Davis, F. D. 2003. User acceptance of information technology: toward a unified view. MIS Quarterly, 27 (3), 425-478.
  40. Venkatesh, V. , Morris, M. G. , Davis, G. B. , and Davis, F. D. 2003. User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
  41. Yuen, H. K. A. and Ma, W. W. K. 2008 Exploring Teacher Acceptance of e-learning Technology. Asia-Pacific Journal of Teacher Education, 36(3), 229–243.
Index Terms

Computer Science
Information Sciences

Keywords

e-Learning blended learning design student learning styles behavioural intention.

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