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This study investigated the mobile learning adoption of evaluation in higher education. Mobile learning is a new form of learning utilizing the unique of mobile devices. However, students’ readiness for mobile learning has yet to fully explore in Taiwan. The purpose of this study is to address this issue using a hybrid MCDM (multiple criteria decision-making) approach that includes the DEMATEL (decision-making trial and evaluation laboratory) for constructing influential network relationship, DANP (DEMATEL-based ANP) for finding the influential weights, and VIKOR methods combining the influential weights of DANP for evaluating the performance gaps in each criterion and then how based on influential network relationship map (INRM) to reduce gaps for achieving aspiration level. An empirical case as example is illustrated to show that these hybrid MCDM. By evaluating the influential interrelationships between criteria related to mobile learning, this approach can be used to solve interdependence and feedback problems, allowing for greater satisfaction of the actual needs of mobile learning behaviour.

Evaluating Mobile Learning Adoption in Higher Education based on New Hybrid MCDM Models