In this paper, I examine three areas of the organizational learning (OL) field where consensus has yet to develop. Ultimately, I proceed to develop the foundation for a normative theory of OL predicated on measuring/depicting the knowledge stock, organizational learning, and meta-learning through algebraic functions coupled with consideration of experimentation and meta-experimentation. This OL framework is then used to predict organizational performance and returns from learning while presenting additional areas of integration between the proposed framework and eventual application within organizations.