我应该选哪门课?基于异构数据源的学生职业支持研究

Matheus Matsumoto de Carvalho, Vitor Ravacci Nunes de Oliveira, Mauricio Lucianelli, Pedro Joanini Cardoso, I. Silveira
{"title":"我应该选哪门课?基于异构数据源的学生职业支持研究","authors":"Matheus Matsumoto de Carvalho, Vitor Ravacci Nunes de Oliveira, Mauricio Lucianelli, Pedro Joanini Cardoso, I. Silveira","doi":"10.1109/LACLO56648.2022.10013368","DOIUrl":null,"url":null,"abstract":"The vocational choice is the first challenge every student face when leaving High School to Universities or Colleges. With the high density of information found online and with the impact of data flood, there is a need for the integration of relevant data for the common user. Towards this scenario, there is a high rate of students taking classes in high school, although they have not yet decided their area studies, despite the amount of resources available, there is a lack of reliability and dispersion of these data, which makes this choice difficult. As a solution method, it is proposed to build an application that integrates the necessary data to assist the student's choice, indicating, through the platform which is the average wage in the area (from internship to senior), which colleges in the region offer the course (separating them between public, private and federal), their applicant per place relation and what are the possible areas of expertise. For this, it's imposed the use of an information collector in every course to populate a database and show them individually in each page of the application.","PeriodicalId":111811,"journal":{"name":"2022 XVII Latin American Conference on Learning Technologies (LACLO)","volume":"474 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Which course should I take? A Vocational Support for Students based on Heterogeneous Data Sources\",\"authors\":\"Matheus Matsumoto de Carvalho, Vitor Ravacci Nunes de Oliveira, Mauricio Lucianelli, Pedro Joanini Cardoso, I. Silveira\",\"doi\":\"10.1109/LACLO56648.2022.10013368\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The vocational choice is the first challenge every student face when leaving High School to Universities or Colleges. With the high density of information found online and with the impact of data flood, there is a need for the integration of relevant data for the common user. Towards this scenario, there is a high rate of students taking classes in high school, although they have not yet decided their area studies, despite the amount of resources available, there is a lack of reliability and dispersion of these data, which makes this choice difficult. As a solution method, it is proposed to build an application that integrates the necessary data to assist the student's choice, indicating, through the platform which is the average wage in the area (from internship to senior), which colleges in the region offer the course (separating them between public, private and federal), their applicant per place relation and what are the possible areas of expertise. For this, it's imposed the use of an information collector in every course to populate a database and show them individually in each page of the application.\",\"PeriodicalId\":111811,\"journal\":{\"name\":\"2022 XVII Latin American Conference on Learning Technologies (LACLO)\",\"volume\":\"474 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 XVII Latin American Conference on Learning Technologies (LACLO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LACLO56648.2022.10013368\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 XVII Latin American Conference on Learning Technologies (LACLO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LACLO56648.2022.10013368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

职业选择是每个学生离开高中进入大学或学院后面临的第一个挑战。随着网上信息的高密度和数据洪流的冲击,需要对普通用户的相关数据进行整合。对于这种情况,在高中上课的学生比例很高,尽管他们还没有决定他们的区域研究,尽管有大量的可用资源,但这些数据缺乏可靠性和分散性,这使得这种选择变得困难。作为一种解决方法,建议建立一个应用程序,该应用程序集成了必要的数据,以帮助学生进行选择,通过该平台表明该地区的平均工资(从实习到大四),该地区的哪些大学提供课程(将其分为公立,私立和联邦),他们的申请人每个地方的关系以及可能的专业领域。为此,它强制在每个课程中使用信息收集器来填充数据库,并在应用程序的每个页面中单独显示它们。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Which course should I take? A Vocational Support for Students based on Heterogeneous Data Sources
The vocational choice is the first challenge every student face when leaving High School to Universities or Colleges. With the high density of information found online and with the impact of data flood, there is a need for the integration of relevant data for the common user. Towards this scenario, there is a high rate of students taking classes in high school, although they have not yet decided their area studies, despite the amount of resources available, there is a lack of reliability and dispersion of these data, which makes this choice difficult. As a solution method, it is proposed to build an application that integrates the necessary data to assist the student's choice, indicating, through the platform which is the average wage in the area (from internship to senior), which colleges in the region offer the course (separating them between public, private and federal), their applicant per place relation and what are the possible areas of expertise. For this, it's imposed the use of an information collector in every course to populate a database and show them individually in each page of the application.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信