The RIGID Framework: Research-Integrated, Generative AI-Mediated Instructional Design
Instructional Design (ID) often faces challenges in incorporating research-based knowledge and pedagogical best practices. Although educational researchers and government agencies emphasize grounding ID in evidence, integrating research findings into everyday design workflows is often complex, as it requires considering multiple context-specific demands and constraints. To address this persistent gap, this paper explores how research in the learning sciences (LS) can be systematically integrated across ID workflows and how recent advances in generative AI can help operationalize this integration. While ID and LS share a commitment to improving learning experiences through design-oriented ...
| Authors | Yerin Kwak, Zachary A. Pardos |
|---|---|
| Primary category | cs.CY |
| Published | 13 March 2026 |
| Last updated at source | 13 March 2026 |
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