{"title":"基于机器学习预测学生学业成绩","authors":"Khalfan Al Mayahi, M. Al-Bahri","doi":"10.1109/ICUMT51630.2020.9222435","DOIUrl":null,"url":null,"abstract":"Today, all institutions and companies are accelerating the use of AI technologies in their businesses to achieve a clear vision and quality results. The education sector is one of the sectors where AI can be used because of big data. In this work we created a machine-based learning model to predict a student’s educational performance. The developed model relied on the student’s previous data and performance in the last stage of the school. The model showed a very accurate accuracy rate that can be adopted.","PeriodicalId":170847,"journal":{"name":"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"28 8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Machine Learning Based Predicting Student Academic Success\",\"authors\":\"Khalfan Al Mayahi, M. Al-Bahri\",\"doi\":\"10.1109/ICUMT51630.2020.9222435\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today, all institutions and companies are accelerating the use of AI technologies in their businesses to achieve a clear vision and quality results. The education sector is one of the sectors where AI can be used because of big data. In this work we created a machine-based learning model to predict a student’s educational performance. The developed model relied on the student’s previous data and performance in the last stage of the school. The model showed a very accurate accuracy rate that can be adopted.\",\"PeriodicalId\":170847,\"journal\":{\"name\":\"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)\",\"volume\":\"28 8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICUMT51630.2020.9222435\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUMT51630.2020.9222435","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Machine Learning Based Predicting Student Academic Success
Today, all institutions and companies are accelerating the use of AI technologies in their businesses to achieve a clear vision and quality results. The education sector is one of the sectors where AI can be used because of big data. In this work we created a machine-based learning model to predict a student’s educational performance. The developed model relied on the student’s previous data and performance in the last stage of the school. The model showed a very accurate accuracy rate that can be adopted.