Andrew Corsi, E. Romero, Mira Yun, L. Deligiannidis
{"title":"交叉连接:一个交叉注册工具","authors":"Andrew Corsi, E. Romero, Mira Yun, L. Deligiannidis","doi":"10.1109/CSCI49370.2019.00146","DOIUrl":null,"url":null,"abstract":"Colleges of the Fenway (CoF) is a joint effort of five neighboring Boston-based colleges in the Fenway area. Cross registration enables students of the CoF to register for courses offered in the other institutions. However, current search functions of the crossregistration system lack key features, such as searching by number of credits, categories of classes, or searching by a specific school. In order to offer these features, we propose a new user-friendly website named CrossConnect. CrossConnect uses the Bootstrap framework and responsive Ajax library to connect and query the course databases across all CoF institutions. CrossConnect allows students to perform enhanced queries and provides a user-friendly search interface.","PeriodicalId":103662,"journal":{"name":"2019 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CrossConnect: A Cross Registration Tool\",\"authors\":\"Andrew Corsi, E. Romero, Mira Yun, L. Deligiannidis\",\"doi\":\"10.1109/CSCI49370.2019.00146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Colleges of the Fenway (CoF) is a joint effort of five neighboring Boston-based colleges in the Fenway area. Cross registration enables students of the CoF to register for courses offered in the other institutions. However, current search functions of the crossregistration system lack key features, such as searching by number of credits, categories of classes, or searching by a specific school. In order to offer these features, we propose a new user-friendly website named CrossConnect. CrossConnect uses the Bootstrap framework and responsive Ajax library to connect and query the course databases across all CoF institutions. CrossConnect allows students to perform enhanced queries and provides a user-friendly search interface.\",\"PeriodicalId\":103662,\"journal\":{\"name\":\"2019 International Conference on Computational Science and Computational Intelligence (CSCI)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Computational Science and Computational Intelligence (CSCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCI49370.2019.00146\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Computational Science and Computational Intelligence (CSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCI49370.2019.00146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Colleges of the Fenway (CoF) is a joint effort of five neighboring Boston-based colleges in the Fenway area. Cross registration enables students of the CoF to register for courses offered in the other institutions. However, current search functions of the crossregistration system lack key features, such as searching by number of credits, categories of classes, or searching by a specific school. In order to offer these features, we propose a new user-friendly website named CrossConnect. CrossConnect uses the Bootstrap framework and responsive Ajax library to connect and query the course databases across all CoF institutions. CrossConnect allows students to perform enhanced queries and provides a user-friendly search interface.