Generative AI Capability Maturity Model for Online and Adult Learning: Introducing the EMERALD-GenAI-CMM-OAL Framework

24 Pages Posted: 29 Mar 2024

See all articles by Valeri Chukhlomin

Valeri Chukhlomin

State University of New York - Empire State University

Date Written: March 21, 2024

Abstract

The rapid advancement and integration of generative AI technologies have significantly transformed online and adult learning domains. This conceptual working paper introduces the EMERALD Generative AI Capability Maturity Model for Online and Adult Learning (EMERALD-GenAI-CMM-OAL), a framework designed to assist educational institutions in evaluating and improving their generative AI capabilities. Drawing inspiration from established maturity models, such as the Capability Maturity Model (CMM) and its derivatives, the EMERALD-GenAI-CMM-OAL framework addresses educational institutions' unique needs and challenges in online and adult learning. The framework defines five key process areas (KPAs) and five maturity levels, providing a holistic approach to integrating generative AI technologies across various aspects of online and adult learning. The KPAs encompass the external environment, technological infrastructure, digital competencies, educational philosophies, and learning design elements. The maturity levels, ranging from pre-generative AI to expert levels, represent an institution's progression in integrating and leveraging generative AI technologies. By assessing their current maturity and identifying areas for improvement, institutions can develop targeted strategies and allocate resources effectively to achieve their generative AI-driven goals. The EMERALD-GenAI-CMM-OAL framework has the potential to significantly contribute to the ongoing discourse on the effective integration of generative AI in education. It offers a comprehensive roadmap for continuous improvement in online and adult learning, presenting itself as a valuable tool for developing AI and IT strategies. Furthermore, it could guide training and development initiatives, inform decisions on resource allocation, and support enhancing curriculum development and instructional design. Additionally, the framework can facilitate collaboration and partnerships among educational institutions, thereby promoting the exchange of best practices and potentially accelerating the adoption of generative AI technologies. This, in turn, could enable a generative AI-driven workplace transformation and enhance learning outcomes for adult learners and working professionals.

Keywords: Generative AI, Capability Maturity Model, Online Learning, Adult Learning, Educational Technology, Process Improvement, Digital Transformation, Workplace Transformation, Institutional Framework.

Suggested Citation

Chukhlomin, Valeri, Generative AI Capability Maturity Model for Online and Adult Learning: Introducing the EMERALD-GenAI-CMM-OAL Framework (March 21, 2024). Available at SSRN: https://ssrn.com/abstract=4769557 or http://dx.doi.org/10.2139/ssrn.4769557

Valeri Chukhlomin (Contact Author)

State University of New York - Empire State University ( email )

113 West Avenue
Saratoga Springs, NY 12866
United States
518-587-2100 (Phone)

HOME PAGE: http://https://www.sunyempire.edu

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