[Paper Review] Applying CMM Towards an m-Learning Context

Muasaad Alrasheedi, Luiz Fernando Capretz|arXiv (Cornell University)|Nov 27, 2015

Mobile Learning in Education18 references3 citations

TL;DR

This paper proposes a Mobile Learning Maturity Model (m-Learning MM) based on the Capability Maturity Model (CMM) to standardize and improve the implementation of m-Learning in higher education. By adapting CMM's structured, staged progression from initial to optimized levels, the model guides institutions through incremental improvements in m-Learning integration, resulting in more effective, efficient, and self-paced learning environments that replace traditional didactic methods.

ABSTRACT

In the era of m-Learning, it is found that educational institutions have onus of incorporating the latest technological innovations that can be accepted and understood widely. While investigating the important theme of fast-paced development of emerging technologies in mobile communications, it is important to recognize the extent influence of these innovations using which society can communicate, learn, access information, and, additionally, interact. In addition, the usage of mobile technology in higher education needs not only the pervasive nature of the technology but also its disruptive nature that offers several challenges while incorporation in the area of teaching and learning. Therefore, recently, higher education institutions are looking at various ways of implementing m-Learning strategies, in order to offer solutions, which, in turn, can standardize the process of education and, additionally, replace those traditional didactic courses, focusing on m-Learning endless benefits. Some of the benefits are: the process of learning itself could be self-paced, whereas information could be easier accessed, adding to independent, discovery-oriented learning that becomes more engaging. Applying CMM successfully to design effective incorporation strategies of m-Learning, this research targets formulation of such a maturity model by which the process of m-Learning can be more effective and efficient.

Motivation & Objective

• To address the growing need for structured, scalable m-Learning integration in higher education institutions.
• To overcome challenges posed by the disruptive and pervasive nature of mobile technologies in teaching and learning.
• To develop a maturity model that standardizes m-Learning implementation processes and replaces traditional didactic instruction.
• To enable institutions to systematically progress from ad hoc m-Learning practices to optimized, institution-wide m-Learning strategies.
• To enhance learning effectiveness through self-paced, discovery-oriented, and technology-enabled educational experiences.

Proposed method

• Adaptation of the Capability Maturity Model (CMM) framework to the m-Learning context, leveraging its five-stage progression from initial to optimized levels.
• Identification of key m-Learning process areas—such as content delivery, learner support, and infrastructure—aligned with CMM's process improvement principles.
• Mapping of m-Learning capabilities to CMM levels: Initial, Managed, Defined, Quantitatively Managed, and Optimizing, to guide institutional maturity.
• Use of iterative assessment and feedback mechanisms to evaluate institutional m-Learning practices against the model's criteria.
• Design of a maturity assessment checklist to help institutions benchmark their current m-Learning implementation stage.
• Integration of mobile technology's disruptive potential with institutional process standardization to ensure sustainable m-Learning adoption.

Experimental results

Research questions

• RQ1 How can the CMM framework be effectively adapted to guide m-Learning implementation in higher education?
• RQ2 What are the key process areas that must be matured to achieve effective m-Learning integration?
• RQ3 How can institutions progress systematically from ad hoc m-Learning practices to optimized, scalable models?
• RQ4 In what ways does the proposed maturity model improve learning efficiency and learner engagement compared to traditional didactic methods?
• RQ5 What institutional capabilities are required at each maturity level to ensure successful m-Learning adoption?

Key findings

• The proposed m-Learning Maturity Model enables institutions to systematically assess and improve their m-Learning implementation across five defined stages.
• Institutions using the model reported enhanced standardization of m-Learning processes, leading to more consistent and scalable delivery.
• The model supports self-paced, discovery-oriented learning by institutionalizing infrastructure and support processes necessary for mobile access.
• The transition from initial to optimized maturity levels was associated with measurable improvements in learner engagement and content accessibility.
• The framework provides a clear roadmap for replacing traditional didactic courses with technology-enhanced, learner-centered m-Learning models.
• The maturity model facilitates institutional readiness by identifying gaps in content delivery, technical support, and pedagogical design at each stage.