A SUMMARY OF CLOUD COMPUTING FOR DEVELOPING THE PROCESS OF E-LEARNING
DOI:
https://doi.org/10.46243/jst.2022.v7.i09.pp0117-134Keywords:
IaaS, PaaS, SaaS, Virtual Learning, Cloud Computing, E-LearningAbstract
Online communication platforms are used to support e-learning, a kind of virtualized computing, and remote learning as a tool in the teaching-learning process. In the last two years, e-learning platforms have grown significantly. When the learning process is digitized, data mining for education information processing leverages information produced from internet databases to improve the educational learning paradigm for educational purposes. A potential platform for enabling e-learning systems is cloud computing. By offering a scalable solution for long-term transformation of computer resource use, it may be automatically changed. When engaging with large e-learning datasets, it is also easier to employ data mining methods in a distributed setting. The research offers an overview of cloud computing's present condition as well as illustrations of infrastructure that has been specifically created for a system like this. It also talks about e-learning techniques and cloud computing demonstrations.
References
Alam, T. (2021). Cloud Computing and its role in the Information Technology. IAIC Transactions on Sustainable Digital Innovation (ITSDI), 1, 108-115 10.34306/itsdi.v1i2.103
Aldowah, H., Al-Samarraie, H., & Fauzy, W. M. (2019). Educational data mining and learning analytics for 21st century higher education: A review and synthesis. Telematics and Informatics, 37, 13-49 10.1016/j.tele.2019.01.007
Ali, A., & Alourani, A. (2021). An Investigation of Cloud Computing and E-Learning for Educational Advancement. IJCSNS, 21(11), 216-222
Ali, A., Manzoor, D., Alouraini, A., The implementation of Government Cloud for the Services under E-Governance in the KSA. Science International Journal, 2021. 3(3): 249- 257
Ali, A., Cloud computing adoption at higher educational institutions in the KSA for Sustainable Development. International Journal of Advanced Computer Science and Applications, 2020. 11(3):413- 419 10.14569/ijacsa.2020.0110352
AlKhunzain, A., & Khan, R. (2021). The Use of M-Learning: A Perspective of Learners’ Perceptions on M-Blackboard Learn 10.3991/ijim.v15i02.17003
Azam, M. G. (2019). Application of cloud computing in library management: innovation, opportunities and challenges. Int. J. Multidiscip., 4(1), 2-11
Bhardwaj, A., & Goundar, S. (2019). A framework to define the relationship between cyber security and cloud performance. Computer Fraud & Security, 2019(2), 12-19 10.1016/s1361-3723(19)30020-x
Blau, I., & Caspi, A. (2009). What type of collaboration helps? Psychological ownership, perceived learning and outcome quality of collaboration using Google Docs. Paper presented at the Proceedings of the Chais conference on instructional technologies research
Bora, U. J., & Ahmed, M. (2013). E-learning using cloud computing. International Journal of Science and Modern Engineering, 1(2), 9-12
Clark, R. C., & Mayer, R. E. (2016). E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning: john Wiley & sons 10.1002/9781119239086
Fernandez, A., Peralta, D., Herrera, F., & Benítez, J. (2012). An overview of e-learning in cloud computing. Paper presented at the Workshop on Learning Technology for Education in Cloud (LTEC'12) 10.1007/978-3-642-30859-8_4
Galić, S., Lušić, Z., & Stanivuk, T. (2020). E- learning in maritime affairs. Journal of Naval Architecture and Marine Engineering, 17(1), 38-50 10.3329/jname.v17i1.42203
Haji, L. M., Zeebaree, S., Ahmed, O. M., Sallow, A. B., Jacksi, K., & Zeabri, R. R. (2020). Dynamic resource allocation for distributed systems and cloud computing. TEST Engineering & Management, 83, 22417-22426
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information systems, 47, 98-115 10.1016/j.is.2014.07.006
Kaisara, G., & Bwalya, K. J. (2021). Investigating the E-Learning Challenges Faced by Students during COVID-19 in Namibia. International Journal of Higher Education, 10(1), 308-318 10.5430/ijhe.v10n1p308
Kausar, S., Huahu, X., Hussain, I., Wenhao, Z., & Zahid, M. (2018). Integration of data mining clustering approach in the personalized E- learning system. IEEE Access, 6, 72724-72734 10.1109/access.2018.2882240
Khan, R. M. I., Ali, A., Alourani, A., Kumar, T., & Shahbaz, M. (2021). An Investigation of the Educational Challenges During COVID-19: A Case Study of Saudi Students' Experience. An Investigation of the Educational Challenges During COVID-19: A Case Study of Saudi Students' Experience, 11(1), 353-363 10.12973/eu-jer.11.1.353
Khan, I., Ibrahim, A. H., Kassim, A., & Khan, R. M. I. (2020). Exploring The EFI Learners' Attitudes Towards the Integration of Active Reading Software in Learning Reading Comprehension at Tertiary Level. MIER Journal of Educational Studies Trends & Practices, 248-266 10.52634/mier/2020/v10/i2/1345
Khan, R. M. I., Kumar, T., Supriyatno, T., & Nukapangu, V. (2021). The Phenomenon of Arabic-English Translation of Foreign Language Classes During The Pandemic. Ijaz Arabi Journal of Arabic Learning, 4(3) 10.18860/ijazarabi.v4i3.13597
Khan, R. M. I., Radzuan, N., Farooqi, S., Shahbaz, M., & Khan, M. (2021). Learners’ Perceptions on WhatsApp Integration as a Learning Tool to Develop EFL Spoken Vocabulary. International Journal of Language Education, 5(2), 1-14 10.26858/ijole.v5i2.15787
Khan, R. M. I., Radzuan, N. R. M., Shahbaz, M., & Ibrahim, A. H. (2018). EFL Instructors’ Perceptions on the Integration and Implementation of MALL in EFL Classes. International Journal of Language Education and Applied Linguistics, 39-50 10.15282/ijleal.v8.299
Khan, R. M. I., Shahbaz, M., Kumar, T., & Khan, I. (2020). Investigating Reading Challenges Faced by EFL Learners at Elementary Level. Register Journal, 13(2), 277- 292 10.18326/rgt.v13i2.277-292
Kumar, P. R., Raj, P. H., & Jelciana, P. (2018). Exploring data security issues and solutions in cloud computing. Procedia Computer Science, 125, 691-697 10.1016/j.procs.2017.12.089
Kundu, K., & Sharma, M. (2020). Data Mining and Techniques. EmErging TrEnds in Big Data, IoT and CyBEr sECuriTy, 33
Manvi, S. S., & Shyam, G. K. (2014). Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey. Journal of network and computer applications, 41, 424- 440 10.1016/j.jnca.2013.10.004
Manzoor, D., Ali, A., & Ahmad, A., Cloud and Web Technologies: Technical Improvements and Their Implications on E-Governance. International Journal of Advanced Computer Science and Applications, 2014.5(5): 196-201 10.14569/ijacsa.2014.050529
Marinescu, D. C. (2017). Cloud computing: theory and practice: Morgan Kaufmann
Masud, M. A. H., & Huang, X. (2011). ESaaS: A new education software model in E-learning systems. Paper presented at the International Conference on Information and Management Engineering 10.1007/978-3-642-24022-5_75
Mell, P., & Grance, T. (2011). The NIST definition of cloud computing 10.6028/nist.sp.800-145
Pahl, C. (2015). Containerization and the PaaS cloud. IEEE Cloud Computing, 2(3), 24-31 10.1109/mcc.2015.51
Palos-Sanchez, P. R., Arenas-Marquez, F. J., & Aguayo-Camacho, M. (2017). Cloud computing (SaaS) adoption as a strategic technology: Results of an empirical study. Mobile Information Systems, 2017 10.1155/2017/2536040
Panoutsopoulos, H., Donert, K., Papoutsis, P., & Kotsanis, I. (2015). Education on the Cloud: Researching Student-Centered, Cloud-Based Learning Prospects in the Context of a European Network. International Association for Development of the Information Society
Park, J. H., & Park, J. H. (2017). Blockchain security in cloud computing: Use cases, challenges, and solutions. Symmetry, 9(8), 164 10.3390/sym9080164
Pekane, A. (2015). Adoption of cloud computing to enhance project management processes and outcomes in South Africa in the private sector. Cape Peninsula University of Technology
Shawish, A., & Salama, M. (2014). Cloud computing: paradigms and technologies Inter- cooperative collective intelligence: Techniques and applications (pp. 39-67): Springer 10.1007/978-3-642-35016-0_2
Srivastava, P., & Khan, R. (2018). A review paper on cloud computing. International Journal
