Agent-based Model for the Analysis of Technological Acceptance of Mobile Learning
Authored by L F Diez, A Valencia, J Bermudez
Date Published: 2017
DOI: 10.1109/tla.2017.7932700
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Abstract
Learning through mobile devices (mobile learning) has been positioning
as an alternative to mitigate the difficulties of coverage, mobility,
accessibility and interactivity in the teaching and learning process in
university students. However, there are still limited studies about
factors of adoption, appropriation and distribution of mobile learning,
to help to understand the diffusion process of virtual learning tools in
students. On this research, our goal is to examine the factors that
influence the intention to use virtual learning tools by university
students. The proposed methodology is based on the construction of an
agent-based model developed on NetLogo to simulate the process of
heterogeneous adoption through individual behaviors and interactions.
The results have been validated in depth interviews with 15 teachers
with experience in mobile learning, and it observed that the developed
model (called AMOL) explains the behavior of the intended use of
m-learning in institutions of higher education. As results, it showed
that encourage the experience of using virtual learning tools for
elementary and high school education is the best strategy to provide
university students a greater adoption of mobile devices for learning
purposes.
Tags
Agent-based model
System dynamics
behavior
Technology diffusion
Strategy
perspective
Mobile learning