Call for Paper - September 2020 Edition
IJCA solicits original research papers for the September 2020 Edition. Last date of manuscript submission is August 20, 2020. Read More

A Systematic Mapping Study of Cloud E-Learning Computing for Education

Print
PDF
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Authors:
Faiz Akram, Rajeev Kumar
10.5120/ijca2018917389

Faiz Akram and Rajeev Kumar. A Systematic Mapping Study of Cloud E-Learning Computing for Education. International Journal of Computer Applications 181(1):21-24, July 2018. BibTeX

@article{10.5120/ijca2018917389,
	author = {Faiz Akram and Rajeev Kumar},
	title = {A Systematic Mapping Study of Cloud E-Learning Computing for Education},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2018},
	volume = {181},
	number = {1},
	month = {Jul},
	year = {2018},
	issn = {0975-8887},
	pages = {21-24},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume181/number1/29680-2018917389},
	doi = {10.5120/ijca2018917389},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

This paper examines the cloud computing for education (CCE) literature, and analyzes if the research is developing scientifically with adequate empirical validation. All aspects of empirical investigations covered in the literature are shown as weak, hence, the necessary scientific development of CCE requires extending its scope of interest, and involving scholars synergistically to create and maintain a “common research agenda”. Differences are found across geographic areas in applying CCE infrastructure and technologies in educational institutions; few studies address CCE’s impact on pedagogic processes. The scope of interest in CCE is only partially covered; with empirical research being very shallow. Suggestions are made for more effective research on concerning the production and use of content.

References

  1. Krenare Pireva, Petros Kefalas and Ioanna Stamatopoulou, “Representation of learning objects in cloud e-learning”, Information, Intelligence, Systems & Applications (IISA), 8th International Conference on, IEEE 2017.
  2. E.-M. Kalogeraki, C. Troussas, D. Apostolou, M. Virvou, T. Panayiotopoulos, "Ontology-based model for learning object metadata", Information Intelligence Systems & Applications (IISA) 2016 7th International Conference on. IEEE, pp. 1-6, 2016.
  3. Cubillo, J., Marten, S. & Castro, M. (2011) ‘ New Technologies Applied in the Educational Process’, IEEE Global Engineering Education Conference (EDUCON) –Learning Environments and Ecosystems in Engineering Education, April 4 - 6, (2010) Amman, Jordan, pp. 575-584.
  4. Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R. H., Konwinski, A., Lee, G., Patterson, D. A., Rabkin, A., Stoica, I. & Zaharia, M. (2009) Above the Clouds: A Berkeley View of Cloud Computing, Electrical Engineering and Computer Sciences University of California at Berkeley.
  5. Angad Grewal, Shri Rai, Rob Phillips and Chun Che Fung "The E-Learning Lifecycle and its Services: The Web Services Approach" Proceedings of the Second International Conference on eLearning for Knowledge-Based Society, August 4-7, 2005.
  6. J. A. Gonzàlez-Martìnez, M. L. Bote-Lorenzo, E. Gòmez-Sànchez, and R. Cano-Parra, “Cloud Computing and education: A state-of-the-art survey,” Comput. Educ., vol. 80, pp. 132–151, Jan. 2015.
  7. M. Joshi, “Emerging trends of cloud computing in education methodologies: A review,” Int. J. Adv. Res. Comput. Sci. Softw. Eng., vol. 5, no. 12, pp. 1–4, Dec. 2015.
  8. M. S. Ibrahim, N. Salleh, and S. Misra, “Empirical studies of cloud computing in education: A systematic literature review,” in Computational Science and Its Applications—ICCSA 2015 (LNCS 9158), O. Gervasi et al., Eds. Cham, Switzerland: Springer, 2015.
  9. R. Boyatt and J. Sinclair, “Navigating the educational cloud,” in Proc. Workshop Learn. Technol. Educ. Cloud, vol. 173, 2012, pp. 179–191.
  10. M. S. Ibrahim, N. Salleh, and S. Misra, “Empirical studies of cloud computing in education: A systematic literature review,” in Proc. Int. Conf. Comput. Sci. Appl., Jun. 2015, pp. 725–737.
  11. B. Kitchenham and S. Chartres, “Guidelines for performing systematic literature reviews in software engineering,” Keele Univ., Newcastle, U.K., and Durham Univ., Durham, U.K., Rep. EBSE-2007-01, 2007.
  12. R. Wieringa, N. Maiden, N. Mead, and C. Rolland, “Requirements engineering paper classification and evaluation criteria: A proposal and a discussion,” Requirement Eng., vol. 11, no. 1, pp. 102–107, 2006.
  13. D. I. K. Sjoberg, T. Dybå, and M. Jørgensen, “The future of empirical methods in software engineering research,” in Proc. IEEE Future Softw. Eng. (FOSE), May 2007, pp. 358–378.
  14. N. Sclater, “Cloud computing in education,” UNESCO Inst. Inf. Technol. Educ., Moscow, Russia, Rep. IITE/INS/PB/2010/01, 2010.
  15. B. Kitchenham, P. Brereton, Z. Li, D. Budgen, and A. Burn, “Repeatability of systematic literature reviews,” in Proc. Int. Conf. Eval. Assess. Softw. Eng. (EASE), Durham, U.K., 2011, pp. 46–55.
  16. S. MacDonell, M. Shepperd, B. Kitchenham, and E. Mendes, “How reliable are systematic reviews in empirical software engineering?” IEEE Trans. Softw. Eng., vol. 36, no. 5, pp. 676–687, Sep./Oct. 2010.

Keywords

Cloud E-learning, computing for Education, Electronic Learning