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}
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.