In this paper we provide a generalizable learning engineering adoption maturity model for appraising an organization’s or enterprise’s maturity in adoption of learning engineering practices. Learning engineering is a process and practice that applies the learning sciences using human-centered, engineering, design principles and data-informed decision-making to support learners and their development. 

This model draws concepts from previous work including the IEEE International Consortium for Innovation and Collaboration in Learning Engineering’s definition of learning engineering as a process and practice, a maturity model for learning ecosystems, the ADL Initiative Distributed Learning Capability Maturity Model, a Learning Engineering Virtual Training Systems with Learning Science, Data Standards and a Capabilities Maturity Model) and the definition of learning engineering team member competencies by the IEEE ICICLE Competency, Curriculum, and Credentials Special Interest Group. The model is offered as a foundation for developing industry standard recommended practices for learning engineering that may be formalized through future work with standards development organizations.

We defer to other instruments to assess the capability, capacity, or readiness of any individual or organization in the competencies required for learning engineering. This model is designed to assess if an organization or enterprise has actually adopted learning engineering processes and practices to some degree and at some level of fidelity. This model attempts to answer the question, to what extent is the organization or enterprise doing learning engineering?

Keywords
ADVANCED DISTRIBUTED LEARNING;LEARNING ANALYTICS;LEARNING TECHNOLOGY STANDARDS;POLICY

Additional Keywords
learning engineering, enterprise, organization, recommended practices, learning engineering process