#633: Farm Harvests and Airplane Engines: Contextualizing Database Exercises in Relatable Contexts with a Learnersourcing Workflow

Developing learning materials that are relatable to students with varied backgrounds poses substantial challenges for instructors. This paper introduces a learnersourcing workflow designed to empower students as creators of personalized educational content, specifically through generating and peer-reviewing worked examples (WEs) that connect computing concepts to real-world scenarios. We empirically evaluated this learnersourcing approach within a database programming course and collected 127 student-generated WEs. The WEs contextualized database problems within diverse and novel scenarios, ranging from agricultural management to aircraft maintenance. Although some WEs had incomplete problem statements or incorrect solutions, most were complete, clear, and educational. In addition, student peer assessments of the WEs are aligned with instructor evaluations. We discuss the lessons learned regarding how a structured learnersourcing workflow can help students contextualize computing concepts and support learning.