Profiling Oman education data using data mining approach
Nowadays, with a large amount of data generated by many application services in different learning fields has led to the new challenges in education field. Education portal is an important system that leads to a better development of education field. This research paper presents an innovative data m...
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| Format: | Article |
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IP Publishing LLC
2017
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| author | Alalawi, Sultan Juma Sultan Mohd Shaharanee, Izwan Nizal Mohd Jamil, Jastini |
| author_facet | Alalawi, Sultan Juma Sultan Mohd Shaharanee, Izwan Nizal Mohd Jamil, Jastini |
| author_sort | Alalawi, Sultan Juma Sultan |
| collection | UUM |
| description | Nowadays, with a large amount of data generated by many application services in different learning fields has led to the new challenges in education field. Education portal is an important system that leads to a better development of education field. This research paper presents an innovative data mining techniques to understand and summarizes the information of Oman’s education data generated from the Ministry of Education Oman “Educational Portal”. This research embarks into performing student profiling of the Oman student database. This study utilized the k-means clustering technique to determine the students’ profiles. An amount of 42484-student records from Sultanate of Oman has been extracted for this study. The findings of this study show the practicality of clustering technique to investigating student’s profiles.Allowing for a better understanding of student’s behavior and their academic performance. Oman Education Portal contain a large amounts of user activity and interaction data.Analyses of this large data can be meaningful for educator to improve the student performance level and recognize students who needed additional attention. |
| first_indexed | 2024-07-04T06:28:13Z |
| format | Article |
| id | uum-24911 |
| institution | Universiti Utara Malaysia |
| last_indexed | 2024-07-04T06:28:13Z |
| publishDate | 2017 |
| publisher | IP Publishing LLC |
| record_format | eprints |
| spelling | uum-249112018-12-11T02:33:31Z https://repo.uum.edu.my/id/eprint/24911/ Profiling Oman education data using data mining approach Alalawi, Sultan Juma Sultan Mohd Shaharanee, Izwan Nizal Mohd Jamil, Jastini QA75 Electronic computers. Computer science Nowadays, with a large amount of data generated by many application services in different learning fields has led to the new challenges in education field. Education portal is an important system that leads to a better development of education field. This research paper presents an innovative data mining techniques to understand and summarizes the information of Oman’s education data generated from the Ministry of Education Oman “Educational Portal”. This research embarks into performing student profiling of the Oman student database. This study utilized the k-means clustering technique to determine the students’ profiles. An amount of 42484-student records from Sultanate of Oman has been extracted for this study. The findings of this study show the practicality of clustering technique to investigating student’s profiles.Allowing for a better understanding of student’s behavior and their academic performance. Oman Education Portal contain a large amounts of user activity and interaction data.Analyses of this large data can be meaningful for educator to improve the student performance level and recognize students who needed additional attention. IP Publishing LLC 2017 Article PeerReviewed Alalawi, Sultan Juma Sultan and Mohd Shaharanee, Izwan Nizal and Mohd Jamil, Jastini (2017) Profiling Oman education data using data mining approach. AIP Conference Proceedings, 1891. 020134. ISSN 0094-243X http://doi.org/10.1063/1.5005467 doi:10.1063/1.5005467 doi:10.1063/1.5005467 |
| spellingShingle | QA75 Electronic computers. Computer science Alalawi, Sultan Juma Sultan Mohd Shaharanee, Izwan Nizal Mohd Jamil, Jastini Profiling Oman education data using data mining approach |
| title | Profiling Oman education data using data mining approach |
| title_full | Profiling Oman education data using data mining approach |
| title_fullStr | Profiling Oman education data using data mining approach |
| title_full_unstemmed | Profiling Oman education data using data mining approach |
| title_short | Profiling Oman education data using data mining approach |
| title_sort | profiling oman education data using data mining approach |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT alalawisultanjumasultan profilingomaneducationdatausingdataminingapproach AT mohdshaharaneeizwannizal profilingomaneducationdatausingdataminingapproach AT mohdjamiljastini profilingomaneducationdatausingdataminingapproach |