Personalized Exploratorium for Database Courses

结构化查询语言（SQL）是使用最广泛的多用途数据库语言。掌握现代数据库技术，广泛的SQL知识和流利的SQL是必不可少的。该项目正在开发一种创新工具，使信息科学专业的学生能够通过使用交互式自动评估练习和示例来开发实用的SQL技能。这些pi正在利用nsf支持的一个项目的成果，该项目通过在数据库课程的背景下探索交互练习的价值，使用C语言编程的交互练习。他们正在采用由新西兰坎特伯雷大学Antonija Mitrovic博士开发的用于SQL练习自动评估的现有技术（SQL- tutor），并开发一种互补的基于脚本的评估技术。该项目为原始的SQL- tutor技术提供了一套免费的交互式SQL示例，并通过个性化指导对其进行了增强，从而提高了学生的参与度和成功率。实现更好的参与度和成功率对于将原始SQL-Tutor技术适应不同的目标受众是至关重要的，这些目标受众对交互练习的准备和积极性都不高。为了在数据库课程的背景下探索个性化练习、实例和个性化的价值，匹兹堡大学还开展了几项形成性和总结性的课堂研究。

Structured Query Language (SQL) is the most widely used multipurpose database language. Extensive knowledge and fluency in SQL is mandatory in mastering modern database technologies. This project is developing an innovative tool that allows Information Science students to develop practical SQL skills through the use of interactive automatically evaluated exercises and examples. The PIs are leveraging the results of an NSF-supported project that uses interactive exercises for C language programming by exploring the value of interactive exercises in the context of Database courses. They are adapting an existing technology for automatic evaluation of SQL exercises (SQL-Tutor) developed at the University of Canterbury, New Zealand by Dr. Antonija Mitrovic and developing a complementary script-based evaluation technology.This project is providing a complimentary set of interactive SQL examples for the original SQL-Tutor technology and enhancing it with personalized guidance that is known to increase student engagement and success rate. Achieving better engagement and success rate is essential to adapting the original SQL-Tutor technology to a different target audience that is less prepared and less motivated to work with interactive exercises. To explore the value of individualized exercises, examples, and personalization in the context of Database courses, the University of Pittsburgh also is running several formative and summative classroom studies.