Toward a large-scale open learning system for data management

S. Murthy, Andrew Figueroa, Steven Rollo
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引用次数: 1

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.
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面向数据管理的大规模开放式学习系统
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。
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