We present the Python Classroom Response System, a webbased tool that enables instructors to use code-writing and multiple choice questions in a classroom setting. The system is designed to extend the principles of peer instruction, an active learning technique built around discussion of multiplechoice questions, into the domain of introductory programming education. Code submissions are evaluated by a suite of tests designed to highlight common misconceptions, so the instructor receives real-time feedback as students submit code. The system also allows an instructor to pull specific submissions into an editor and visualizer for use as in-class examples. We motivate the use of this system, describe its support for and extension of peer instruction, and offer use cases and scenarios for classroom implementation.

Many database courses rely on relational algebra (RA) to provide a theoretical foundation for database query languages such as SQL. However, few tools exist to support students in learning RA. To fill this need, we created RAPT. RAPT uses a syntactic and semantic understanding of RA to transform input statements into a variety of outputs, including L A T E X formatted queries, parse tree diagrams, and executable SQL statements. The translation to SQL is particularly important, as it enables the creation of automatically tested exercises and allows students to view the result of executing an RA statement. RAPT-supported exercises have been integrated into PCRS, a system for creating online learning modules, and deployed to a third year databases course with over 350 students.