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Reseach Article

Blended Learning System Performance Evaluation

by Naser Zaeri
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 76 - Number 4
Year of Publication: 2013
Authors: Naser Zaeri
10.5120/13237-0673

Naser Zaeri . Blended Learning System Performance Evaluation. International Journal of Computer Applications. 76, 4 ( August 2013), 33-39. DOI=10.5120/13237-0673

@article{ 10.5120/13237-0673,
author = { Naser Zaeri },
title = { Blended Learning System Performance Evaluation },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 76 },
number = { 4 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 33-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume76/number4/13237-0673/ },
doi = { 10.5120/13237-0673 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:45:03.049315+05:30
%A Naser Zaeri
%T Blended Learning System Performance Evaluation
%J International Journal of Computer Applications
%@ 0975-8887
%V 76
%N 4
%P 33-39
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, the use of the blended learning pedagogy as a teaching environment is studied. This pedagogy is based on a mixture of collaborative learning, problem-based learning and independent learning. Also, it is realized as a combination of a face-to-face environment and online learning, using a proprietary learning management system. More precisely, the methodological approach implemented by the Arab Open University is explored. The Arab Open University has twelve different branches distributed in eight different countries. In addition, the blended learning course design is described and the fulfillment of the corresponding learning outcomes is investigated. The study concludes that the technology provides with more learning choices. Among the choices is the blended learning that has several advantages and strength when compared to its counterpart, the classical learning. However, there are some challenges that need to be considered as well.

References
  1. Hoic-Bozic, N. , Mornar, V. , and Boticki, I. 2009. "A blended learning approach to course design and implementation," IEEE Transactions on Education, vol. 52, no. 1.
  2. Dziuban, C. , Moskal, P. , Futch, L. 2007. Reactive Behavior, Ambivalance, and the Generations: Emerging Patterns in Student Evaluation of Blended Learning, University of Central Florida.
  3. Cavanagh, T. B. 2012. The postmodality era: How 'online learning' is becoming 'learning'. In D. Oblinger (Ed. ), Game changers: Education and information technology. Boulder, CO: EDUCAUSE.
  4. Capuano, N. , Marsella, M. , and Salerno, S. 2000. "ABITS: An agent based intelligent tutoring system for distance learning," In Proceedings of the International Workshop on Adaptive and Intelligent Web-Based Education Systems. ITS.
  5. Andreev, R. D. and Troyanova, N. V. 2006. "E-learning design: An integrated agent-grid service architecture," IEEE International Symposium on Modern Computing.
  6. Regueras, L. M. , Verdú, E. , Muñoz, M. F. , Pérez, M. A. , De Castro, J. P. , and Verdú, M. J. 2009. "Effects of competitive e-learning tools on higher education students: A case study," IEEE Transactions On Education, vol. 52, no. 2.
  7. Al Masum, S. M. and Ishizuka, M. 2005. "Software-agent architecture for interactive e-learning," in Proceedings of 1st International Conference on Web Information Systems and Technologies.
  8. Thyagharajan, K. K. and Nayak, R. 2007. "Adaptive content creation for personalized e-learning using web services," Journal of Applied Sciences Research, vol. 3, no. 9.
  9. Kim, K. -H. , Yoo, H. -J. , and Kim, H. -S. 2005. "A process-driven e-learning content organization model," Fourth Annual ACIS International Conference on Computer and Information Science.
  10. Alexakos, C. , Giotopoulos, K. , Thermogianni, E. , Beligiannis, G. , and Likothanassis, S. 2006. "Integrating e-learning environments with computational intelligence assessment agents," in Proceedings of World Academy of Science, Engineering and Technology, vol. 13.
  11. Karger, P. , Olmedilla, D. , Abel, F. , Herder, E. , and Siberski, W. 2008. "What do you prefer? Using preferences to enhance learning technology," IEEE Transactions On Learning Technologies, vol. 1, no. 1.
  12. Kashfi, H. and Rasais, M. R. 2006. "A distributed service oriented e-learning environment based on grid technology," National Computer Conference.
  13. Shang, Y. , Shi, H. , and Chen, S. -S. 2001. "An intelligent distributed environment for active learning," ACM.
  14. Tseng, J. , Chu, H. -C. , Hwang, G. -J. , and Tsai, C. -C. 2008. "Development of an adaptive learning system with two sources of personalization information," Computers & Education.
  15. Paramythis, A. , Loidl-Reisinger, S. , and Kepler, J. 2004. "Adaptive learning environments and e-learning standards" Electronic Journal of e-Learning, vol. 2, no. 1.
  16. Levy, Y. 2007. "Comparing dropouts and persistence in e-learning courses," Computer Education, vol. 48, no. 2.
  17. Moore, J. C. 2011. "A synthesis of Sloan-C effective practices," Journal of Asynchronous Learning Networks, vol. 16 no. 1.
  18. Bold, M. 2005. "Development and evaluation of a distance learning master's degree in family studies," Online Journal of Distance Learning Administration, vol. 8, no. 3.
  19. Dziuban, C. and Moskal, P. 2011. "A course is a course is a course: Factor invariance in student evaluation of online, blended, and face-to-face learning environments" Journal of Internet and Higher Education, vol. 14.
Index Terms

Computer Science
Information Sciences

Keywords

Blended Learning Pedagogy Learning management system