An AI framework helps instructors create unique, tailored datasets and assignments for business analytics education, promoting genuine student investigation.

In plain terms

Teaching business analytics requires diverse practice datasets, but real-world data is often hard to get, inflexible, or so common that students (and AI tools) might find pre-existing answers instead of practicing original thought. Instructors also spend significant time creating new case studies, assignments, and solutions. This paper introduces DataCanvas-EDU, an AI-powered system called an "agent" (an AI program designed to perform specific tasks independently). Instructors tell this AI agent their teaching goals and the specific data patterns they want students to discover. The AI agent then automatically writes code to generate completely new, artificial (synthetic) datasets, checks the data, and even prepares assignments, reference analyses, and rubrics (grading guidelines). This approach simplifies course material preparation and ensures students work with unique data, encouraging genuine problem-solving with AI rather than finding pre-existing answers.