Empirical Model for Mobile Learning and their Factors. Case Study: Universities located in the Urban City of Guadalajara, México
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Mejía Trejo, Juan; Titular Research Professor of Marketing and International Business Department at Universidad de Guadalajara-CUCEA. Dean of Phd. in Administrative Sciences juanmejiatrejo@hotmail.com; jmejia@cucea.udg.mx ; Sánchez Gutiérrez, José [1] ; Vázquez Ávila, Guillermo [2]
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[1] Chief of Marketing and International Business Department at Universidad de Guadalajara-CUCEA. Chair and President of Red Internacional de Investigadores en Competitividad (RIICO). SNI Level I CONACYT Member
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[2] Titular Research Professor of Marketing and International Business Department at Universidad de Guadalajara-CUCEA.Red Internacional de Investigadores en Competitividad (RIICO). SNI Level I CONACYT Member
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- Localización: Apertura: Revista de Innovación Educativa, ISSN-e 2007-1094, ISSN 1665-6180, Vol. 7, Nº. 2, 2015 (Ejemplar dedicado a: Mixtura de modalidades educativas / Octubre 2015 - marzo 2016), págs. 20-39
- Idioma: inglés
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Resumen
Information and communication technologies (ICT) are producing new and innovative teaching-learning processes. The research question we focused on is: Which is the empirical model and the factors for mobile learning at universities located within the Metropolitan Zone of Guadalajara, in Jalisco, México? Our research is grounded on a documentary study that chose variables used by specialists in m-learning using Analytic Hierarchy Process (AHP). The factors discovered were three: Technology (TECH); Contents Teaching-Learning Management and Styles (CTLMS); and Professor and Student Role (PSR). We used 13 dimensions and 60 variables. 20 professors and 800 students in social sciences courses participated in the study; they came from 7 universities located in the Urban City of Guadalajara, during 2013-2014 school cycles (24 months). We applied questionnaires and the data were analyzed by structural equations modeling (SEM), using EQS 6.1 software. The results suggest that there are 9/60 variables that have the most influence to improve the interaction with m-Learning model within the universities.
