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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.20319476 |
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Table of Contents:
- AAFL is an instructional systems design framework for the agent era — where AI agents author first drafts and humans serve as Human-in-the-Loop judgment-holders, anchored in workplace performance as the organizing outcome. The framework keeps ADDIE's five-phase spine and adds eight HITL decision gates, three cross-cutting layers (Governance, Evaluation-as-Spec, Orchestration), the Translator's Loop, a Proportional Restraint Scale (PRS-1 through PRS-4) with classification-aware maturity caps, and a six-dimension eval framework.