How Mature is m-Learning in an Educational Institution?

EasyChair Preprint 8195

Abstract

An m-Learning Maturity Model (MLMM) is put forward in this research study based on Critical Success Factors (CSFs) for assessing the mobile technology adoption rates in universities and higher educational institutes. The model is de-rived and adopted from Capability Maturity Model (CMM), which has been widely used in organizations to gauge the adoption of various new technologies and processes. Five levels of m-learning maturity are defined in the model including preliminary, established, defined, structured, and continuous improvement. Each of these maturity levels is gauged through nine CSFs in assessment questionnaire. The CSFs used in measuring instrument of the MLMM model are adopted from three of our previous empirical studies. Using an assessment questionnaire and a rating methodology, the paper replicates the model to two universities to gauge their level of m-Learning adoption. Thus, two case studies are presented to assess the applicability of the model. Although the model has certain limitations in terms of omitting factors such as cultural influences on m-Learning adoption, the included CSFs have been validated by earlier empirical research. Hence the model provides a comprehensive approach, while opening new areas of future research.

Keyphrases: Capability Maturity Model, Computers in Education, Education Assessment Model, Learning Systems, electronic learning, mobile learning

@booklet{EasyChair:8195,
  author    = {Muasaad Alrasheedi and Luiz Fernando Capretz},
  title     = {How Mature is m-Learning in an Educational Institution?},
  howpublished = {EasyChair Preprint 8195},
  year      = {EasyChair, 2022}}