J. Kumar, Ritu Vashistha, Kushwant Kaur, Siroj Kumar Singh
{"title":"预测学生表现的机器学习技术","authors":"J. Kumar, Ritu Vashistha, Kushwant Kaur, Siroj Kumar Singh","doi":"10.1109/APSIT58554.2023.10201696","DOIUrl":null,"url":null,"abstract":"Students’ performance prediction becomes more difficult due to the large data in education system. Now a days, most of the educational bodies are used Machine Learning techniques to make improvement in their system. Performance of the students is analyzed by using these techniques and help to students in improving their performance. Therefore, a systematic review of all papers related to this field is needed to understand the Machine Learning techniques in education and how to predict the performance of students. This paper focus on finding the important factors that affects the student performance used by the authors and also find the prediction methods is mostly used.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine Learning Techniques of Predicting Student's Performance\",\"authors\":\"J. Kumar, Ritu Vashistha, Kushwant Kaur, Siroj Kumar Singh\",\"doi\":\"10.1109/APSIT58554.2023.10201696\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Students’ performance prediction becomes more difficult due to the large data in education system. Now a days, most of the educational bodies are used Machine Learning techniques to make improvement in their system. Performance of the students is analyzed by using these techniques and help to students in improving their performance. Therefore, a systematic review of all papers related to this field is needed to understand the Machine Learning techniques in education and how to predict the performance of students. This paper focus on finding the important factors that affects the student performance used by the authors and also find the prediction methods is mostly used.\",\"PeriodicalId\":170044,\"journal\":{\"name\":\"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSIT58554.2023.10201696\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSIT58554.2023.10201696","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Machine Learning Techniques of Predicting Student's Performance
Students’ performance prediction becomes more difficult due to the large data in education system. Now a days, most of the educational bodies are used Machine Learning techniques to make improvement in their system. Performance of the students is analyzed by using these techniques and help to students in improving their performance. Therefore, a systematic review of all papers related to this field is needed to understand the Machine Learning techniques in education and how to predict the performance of students. This paper focus on finding the important factors that affects the student performance used by the authors and also find the prediction methods is mostly used.