Scalability and response quality across modules and knowledge bases

Determine whether the Beacon Retrieval-Augmented Generation approach can be applied across different modules, levels of study, and subject areas while maintaining response quality when drawing from larger and more diverse knowledge bases with differing terminology, assessment designs, and expected prior knowledge.

Background

Beacon was evaluated in a single computing-course context. The authors leave unresolved whether the same architecture can scale across disciplines and educational levels without loss of accuracy or curriculum alignment, particularly when the indexed materials become larger and more heterogeneous.

References

While this study focused on a specific computing context, a key next step is to examine whether the same RAG approach can be applied across different modules, levels of study, and subject areas.