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Managing big data in cloud computing and its impact on E-learning in university | ||
| TANMIYAT AL-RAFIDAIN | ||
| Article 11, Volume 40, Issue 130, 2021, Pages 277-291 PDF (1.38 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/tanra.2020.128428.1057 | ||
| Author | ||
| Luqman Qader Abdulrahman* | ||
| Halwer Medical University | ||
| Abstract | ||
| With the spread of the COVID 19 pandemic, universities have become heavily dependent on platforms, applications, and ready-made programs that help professors, this issue would make the data continuously available, and everyone could quickly get it. Also, this facilitates the analysis and use of this data to improve educational effectiveness and support basic research on learning. Besides, it is characterized by the need for rapid treatment so that it can display the common points, trends, and patterns in the behavior of the target group. In the university, data analysis can have a major impact on all employees from teachers to students and even coaches in educational leadership and management. Many educational institutions receive a large amount of information daily in the form of details about attendance and participation, test results, students’ evaluations of teachers, and also details about their social and economic situation. Hence, such “Big Data” collection and the analysis which follows allow educational institutions to begin providing more personalized education. Reliance on “Cloud” has become very necessary to accelerate the pace of work and the services of the university. Cloud computing is characterized by electronically managing data, ensuring data confidentiality, and archiving it in a safe, accurate and usable manner. There is a large group of universities that rely heavily on cloud computing and have developed in the electronic educational process in terms of giving excellent service to students and professors, so in this research we suggest universities to start using cloud computing because of its many advantages. | ||
| Keywords | ||
| Big Data; Cloud computing; Data Management; Application; platform | ||
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