{"title":"利用学习管理系统设计课程结业预警系统","authors":"A. Rahmah","doi":"10.1109/ICIC54025.2021.9632939","DOIUrl":null,"url":null,"abstract":"The number of failing students in courses incompletion has increased during the implementation of distance learning due to the Covid-19 outbreak. The phenomenon also happened at STT Terpadu Nurul Fikri, a campus majoring in IT and IS, Depok, Indonesia. The implementation of distance learning commonly utilizes a learning management system (LMS) as the primary learning media, such as Moodle. It encourages a shift in students monitoring approach using their behavior in LMS usage. Therefore, an early warning system using students' at-risk behavior in utilizing the LMS is an opportunity to reduce the failure rate. It is the issue raised in this research, which carried out using the following steps: analyze course incompletion pattern, formulate to-be-monitored factors, designing early warning system, and recommending how to apply it. The results form factors related to the LMS usage monitoring and the design of an early warning system for student at-risk. This result may become a tool to prevent course incompletion by showing overview about students’ at-risk situation.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"11 12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Designing Early Warning System for Course Completion using Learning Management System\",\"authors\":\"A. Rahmah\",\"doi\":\"10.1109/ICIC54025.2021.9632939\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The number of failing students in courses incompletion has increased during the implementation of distance learning due to the Covid-19 outbreak. The phenomenon also happened at STT Terpadu Nurul Fikri, a campus majoring in IT and IS, Depok, Indonesia. The implementation of distance learning commonly utilizes a learning management system (LMS) as the primary learning media, such as Moodle. It encourages a shift in students monitoring approach using their behavior in LMS usage. Therefore, an early warning system using students' at-risk behavior in utilizing the LMS is an opportunity to reduce the failure rate. It is the issue raised in this research, which carried out using the following steps: analyze course incompletion pattern, formulate to-be-monitored factors, designing early warning system, and recommending how to apply it. The results form factors related to the LMS usage monitoring and the design of an early warning system for student at-risk. This result may become a tool to prevent course incompletion by showing overview about students’ at-risk situation.\",\"PeriodicalId\":189541,\"journal\":{\"name\":\"2021 Sixth International Conference on Informatics and Computing (ICIC)\",\"volume\":\"11 12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Sixth International Conference on Informatics and Computing (ICIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIC54025.2021.9632939\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Sixth International Conference on Informatics and Computing (ICIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIC54025.2021.9632939","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Designing Early Warning System for Course Completion using Learning Management System
The number of failing students in courses incompletion has increased during the implementation of distance learning due to the Covid-19 outbreak. The phenomenon also happened at STT Terpadu Nurul Fikri, a campus majoring in IT and IS, Depok, Indonesia. The implementation of distance learning commonly utilizes a learning management system (LMS) as the primary learning media, such as Moodle. It encourages a shift in students monitoring approach using their behavior in LMS usage. Therefore, an early warning system using students' at-risk behavior in utilizing the LMS is an opportunity to reduce the failure rate. It is the issue raised in this research, which carried out using the following steps: analyze course incompletion pattern, formulate to-be-monitored factors, designing early warning system, and recommending how to apply it. The results form factors related to the LMS usage monitoring and the design of an early warning system for student at-risk. This result may become a tool to prevent course incompletion by showing overview about students’ at-risk situation.