{"title":"Predicting the performance of school: Case study in Sultanate of Oman","authors":"Ismail Almuniri, A. Said","doi":"10.1109/INFOCT.2018.8356833","DOIUrl":null,"url":null,"abstract":"Advancement of the pedagogical education systems is imperative for any country. The education systems in Sultanate of Oman have come a long way in the processes of improving the quality of education provided to students from the primary school until the university. Like any system, the education system generates a huge amount of data related to all the stakeholders involve in the education process. However, this data is still untapped and it is considered very important to enhance the quality of education. The objective of this study is to predict the performance of schools based on educational data set. Several classification algorithms were employed to achieve the goal of the paper and the result shows a high accuracy for the generated models.","PeriodicalId":376443,"journal":{"name":"2018 International Conference on Information and Computer Technologies (ICICT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Information and Computer Technologies (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOCT.2018.8356833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Advancement of the pedagogical education systems is imperative for any country. The education systems in Sultanate of Oman have come a long way in the processes of improving the quality of education provided to students from the primary school until the university. Like any system, the education system generates a huge amount of data related to all the stakeholders involve in the education process. However, this data is still untapped and it is considered very important to enhance the quality of education. The objective of this study is to predict the performance of schools based on educational data set. Several classification algorithms were employed to achieve the goal of the paper and the result shows a high accuracy for the generated models.