CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
Reseach Article

Open Student Evaluation Model in e-Learning

by Tareq Nasr, Saleh Mesbah, Mohamed Shaaban, Mohamad Shaheen
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 128 - Number 4
Year of Publication: 2015
Authors: Tareq Nasr, Saleh Mesbah, Mohamed Shaaban, Mohamad Shaheen
10.5120/ijca2015906536

Tareq Nasr, Saleh Mesbah, Mohamed Shaaban, Mohamad Shaheen . Open Student Evaluation Model in e-Learning. International Journal of Computer Applications. 128, 4 ( October 2015), 42-48. DOI=10.5120/ijca2015906536

@article{ 10.5120/ijca2015906536,
author = { Tareq Nasr, Saleh Mesbah, Mohamed Shaaban, Mohamad Shaheen },
title = { Open Student Evaluation Model in e-Learning },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 128 },
number = { 4 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 42-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume128/number4/22864-2015906536/ },
doi = { 10.5120/ijca2015906536 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:20:34.352938+05:30
%A Tareq Nasr
%A Saleh Mesbah
%A Mohamed Shaaban
%A Mohamad Shaheen
%T Open Student Evaluation Model in e-Learning
%J International Journal of Computer Applications
%@ 0975-8887
%V 128
%N 4
%P 42-48
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research paper aims to present an integrated evaluation model in e-learning systems for students. The paper describes the phases of development and analysis of the application of a web-based open student evaluation model in an e-Learning System. The proposed model has been tested and evaluated in terms of its effectiveness on student communication, collaboration, and progress. The evaluation has showed that the proposed model provides the students with flexible mechanism to control access to their model information.

References
  1. Alessi, S. and Stanley, T.,2001.Multmedia for learning: Methods and Development 3rd ed. Boston, MA: allyn & Bacon, INC. ISBN-13:9780205276912.
  2. Anderson, T., 2008.The theory and practice of online learning.2nd ed. Canada: Athabasca University.
  3. Ryder, M. 1995. University of Colorado Denver, Page originated Dec 1995 updated January2014. Instructional Design Models [online] Available from http://carbon.ucdenver.edu/~mryder/itc/idmodels.html [Accessed 12 January 2015].
  4. Learning styles [online] Available from: http://www.learning-styles-online.com/overview/ [Accessed 15 July 2015].
  5. Alzaghoul, A. F. 2014. The implications of the learning theories on implementing elearning courses. The Research Journal of Jordan, 11(11), 27-30.
  6. Anderson, J. R., and Bower, G. H., 1973. Human associative memory. Washington, DC
  7. Cooper, P. A. 1993. Paradigm shifts in designing instruction: From behaviorism to cognitivism to constructivism. Educational Technology, 33(5), 12–19.
  8. Wilson, B. G. 1997. Reflections on constructivism and instructional design. In C. R. Dills & A. J. Romiszowski (Eds.), Instructional development paradigms (pp. 63–80). Englewood Cliffs, NJ: Educational Technology Publications.
  9. Eddy, D., 2004. Fallible or Inerrant? On the Constructivist’s Bible. British journal for the history of science. 37 (1), 93-98.
  10. Guthrie, E.R. 1938. The Psychology of Human Conflict. New York: Harper.
  11. Culatta, R., 2013. Innovative learning. Available from: http://www.innovativelearning.com/index.html [Accessed 17 March 2015].
  12. Weiner, B. 1974. Achievement motivation and attribution theory. Morristown, N.J.: General Learning Press.
  13. Rogers, C.R. 1969. Freedom to Learn. Columbus, OH: Merrill.
  14. Felder, R. 2014. Resources in science and engineering education “learning styles” Available from: http://www4.ncsu.edu/unity/lockers/users/f/felder/public/Learning_Styles.html [Accessed 6 June 2015].
  15. Kolb, D. 1984. Experiential learning: Experience as the source of learning and development. Englewood Cliffs, NJ: Prentice-Hall.1.
  16. Fleming, N., 2008. VARK a guide to learning styles. Available from: http://vark-learn.com/. [Accessed 28 August 2015].
  17. King, F., Young, M. F., Drivere-Richmond, K., & Schrader, P. G. (2001). Defining distance learning and distance education, 9 (1), 1−14.
  18. Towhidi, A. 2010. Distance Education Technologies and Media Utilization in Higher Education. 7 (8),4-30
  19. Keegan, D., 1996. Foundations of distance education 3rd ed. London: Routledge. Englewood Cliffs, NJ: Educational Technology Publications.
  20. JISC, 2004. Effective Practice with e-Learning A good practice guide in designing for learning. Joint Information Systems Committee, UK.
  21. Li, F., Lau, R., Dharmendran, P., 2009. A Three-Tier Profiling Framework for Adaptive e-Learning. 235-244.
  22. Naidu, S., 2006. E-learning A Guidebook of Principles, Procedures and Practices. 2ed, New Delhi.
  23. Friesen, N., 2009. Re-Thinking E-Learning Research: Foundations, Methods, and Practices. New York
  24. Watson, F., and Kalmon, S., 2005. Keeping pace with K–12 online learning: A review of state-level policy and practice. U.S.
  25. Bakia,M., Shear, L., Toyama,Y. and Lasseter,A. 2012. Understanding the Implications of Online Learning for Educational Productivity. Center for Technology in Learning SRI International
  26. U.S. Department of Education, Office of Innovation and Improvement. 2007. Connecting students to advanced courses online: Innovations in education. Washington, DC.
  27. Picciano, A., and J. Seaman. 2009. K-12 online learning: A 2008 follow-up of the survey of U.S. school district administrators. Needham, MA: Sloan Consortium.
  28. Graham, R., Allen, S. and Ure, D., 2005. Benefits and challenges of blended learning environments. Encyclopedia of information science and technology, Idea Group Inc... 253-259.
  29. Watson, J., Murin, A. , Vashaw, L., Gemin, B. and Rapp, C. 2010. Keeping pace with K–12 online learning: An annual review of policy and practice.Evergreen Education Group.
  30. Mehdipour, Y., Zerehkafi, H.,2013 Mobile Learning for Education: Benefits and Challenges.3 (6),93-101
  31. Crompton, H. 2013. A historical overview of mobile learning: Toward learner-centered education.Hoboken
  32. Bransford, J., Brown, A., and Cocking, R. (eds.),. 2000. How People Learn: Brain, Mind, Experience, and School. Washington, D.C.: National Academy Press.
  33. Milrad, M. 2003. Mobile learning: Challenges, perspectives, and reality. In Nyiri, K. Mobile Learning: Essays on Philosophy, Psychology and Education. Vienna: Passagen Verlag.151-164.
  34. Brown, T. 2003. The role of m-learning in the future of e-learning in Africa. 21st ICDE World Conference, Hong Kong.
  35. Hudson, R., Maslin-Prothero, S., Oates, L. (1997). Flexible Learning in Action. London: Kogan Page.
  36. Peoples, K, Robinson, P., Calvert, J., 1997, From Desk to Disk: Staff development for VET staff in flexible delivery, Australian National Training Authority, Brisbane.
  37. Brian, Pat, Helen, Linda, Marg and Derrick 2003. Working Definitions Flexible delivery. Available from: http://www.vtc.edu.hk/ive/mh/av/911task3/annotate.htm [Accessed 23 August 2015].
  38. Mazza, R., 2003 Using open student models in distance learning environments to help teachers provide adaptive tutoring. SCOMS- Studies in Communication Sciences, Special Issue New Media in Education,245-251.
  39. Gratto, K., 1999. Report to the Distance Education Evaluation Task Force Best Practices and Problems. Available from: http://qed.ncat.edu/ir&p/report.htm . [Accessed 16 May 2015].
  40. Galusha, J., 1998. Barriers to Learning in Distance Education. University of Southern Mississippi , ERIC. 23.
  41. Rivera, J., McAlister, M.,and Rice, M., 2002. A Comparison of Student Outcomes & Satisfaction Between Traditional & Web Based Course Offerings. Online Journal of Distance Learning Administration,5(3).
  42. Cotton, K., 1988. Monitorning student learning in the classroom. School improvement reseaech series (SIRS). Northwest regional educational laboratory, U.S. Department of Education.
  43. Dicken, C., 2014.Top 5 Databases for Web Developers. Available from: http://www.htmlgoodies.com/primers/database/top-5-databases-for-web-developers.html [Accessed 23 August 2015].
Index Terms

Computer Science
Information Sciences

Keywords

Learning system e-learning student model evaluation web-based distance education