面向数据管理的大规模开放式学习系统

S. Murthy, Andrew Figueroa, Steven Rollo
{"title":"面向数据管理的大规模开放式学习系统","authors":"S. Murthy, Andrew Figueroa, Steven Rollo","doi":"10.1145/3231644.3231673","DOIUrl":null,"url":null,"abstract":"This paper describes ClassDB, a free and open source system to enable large-scale learning of data management. ClassDB is different from existing solutions in that the same system supports a wide range of data-management topics from introductory SQL to advanced \"native analytics\" where code in SQL and non-SQL languages (Python and R) run inside a database management system. Each student/team maintains their own sandbox which instructors can read and provide feedback. Both students and instructors can review activity logs to analyze progress and determine future course of action. ClassDB is currently in its second pilot and is scheduled for a larger trial later this year. After the trials, ClassDB will be made available to about 4,000 students in the university system, which comprises four universities and 12 community colleges. ClassDB is built in collaboration with students employing modern DevOps processes. Its source code and documentation are available in a public GitHub repository. ClassDB is work in progress.","PeriodicalId":20634,"journal":{"name":"Proceedings of the Fifth Annual ACM Conference on Learning at Scale","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Toward a large-scale open learning system for data management\",\"authors\":\"S. Murthy, Andrew Figueroa, Steven Rollo\",\"doi\":\"10.1145/3231644.3231673\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes ClassDB, a free and open source system to enable large-scale learning of data management. ClassDB is different from existing solutions in that the same system supports a wide range of data-management topics from introductory SQL to advanced \\\"native analytics\\\" where code in SQL and non-SQL languages (Python and R) run inside a database management system. Each student/team maintains their own sandbox which instructors can read and provide feedback. Both students and instructors can review activity logs to analyze progress and determine future course of action. ClassDB is currently in its second pilot and is scheduled for a larger trial later this year. After the trials, ClassDB will be made available to about 4,000 students in the university system, which comprises four universities and 12 community colleges. ClassDB is built in collaboration with students employing modern DevOps processes. Its source code and documentation are available in a public GitHub repository. ClassDB is work in progress.\",\"PeriodicalId\":20634,\"journal\":{\"name\":\"Proceedings of the Fifth Annual ACM Conference on Learning at Scale\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fifth Annual ACM Conference on Learning at Scale\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3231644.3231673\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fifth Annual ACM Conference on Learning at Scale","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3231644.3231673","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文介绍了一个免费的开源系统ClassDB,它可以实现大规模的学习数据管理。ClassDB与现有解决方案的不同之处在于,同一个系统支持范围广泛的数据管理主题,从入门级SQL到高级“本地分析”,其中SQL和非SQL语言(Python和R)的代码在数据库管理系统中运行。每个学生/团队都有自己的沙盒,教师可以阅读并提供反馈。学生和教师都可以查看活动日志来分析进度并确定未来的行动方针。ClassDB目前处于第二个试点阶段,并计划在今年晚些时候进行更大规模的试验。在试验结束后,ClassDB将在大学系统中提供给大约4000名学生,其中包括4所大学和12所社区学院。ClassDB是与采用现代DevOps流程的学生合作构建的。它的源代码和文档可以在GitHub公共存储库中获得。ClassDB正在进行中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward a large-scale open learning system for data management
This paper describes ClassDB, a free and open source system to enable large-scale learning of data management. ClassDB is different from existing solutions in that the same system supports a wide range of data-management topics from introductory SQL to advanced "native analytics" where code in SQL and non-SQL languages (Python and R) run inside a database management system. Each student/team maintains their own sandbox which instructors can read and provide feedback. Both students and instructors can review activity logs to analyze progress and determine future course of action. ClassDB is currently in its second pilot and is scheduled for a larger trial later this year. After the trials, ClassDB will be made available to about 4,000 students in the university system, which comprises four universities and 12 community colleges. ClassDB is built in collaboration with students employing modern DevOps processes. Its source code and documentation are available in a public GitHub repository. ClassDB is work in progress.
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:481959085
Book学术官方微信