Literature DB >> 34192098

Mobile Learning in Higher Education: Structural Equation Model for Good Teaching Practices.

Jose-Maria Romero-Rodriguez1, Inmaculada Aznar-Diaz1, Francisco-Javier Hinojo-Lucena1, Gerardo Gomez-Garcia1.   

Abstract

Mobile learning is a methodology that involves the use of mobile devices to carry out the teaching-learning process. In exceptional situations such as that experienced during the COVID-19 pandemic in Spain, virtual training methods take on great importance, being the main route for the education of students. The purposes of this paper were to analyse the degree of implementation of the mobile learning methodology in Spanish universities and to check the sociodemographic factors that influence the development of good teaching practices in mobile learning. Ten hypothetical relationships were established and contrasted using a structural equation model. The sample was made up of 1544 university professors from 59 Spanish universities who were asked to complete a questionnaire designed to evaluate mobile learning practices. The results indicated that the degree of implementation of mobile devices was almost 73% of the population surveyed. While the sociodemographic factors that significantly influenced the development of good teaching practices were: teacher status; type of institution; educational technology research; implementing pedagogical innovations on a regular basis; agree that mobile devices are appropriate; belief in the expansion of mobile learning. Finally, the main findings and practical implications derived from the data obtained were discussed. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.

Entities:  

Keywords:  Good teaching practices; higher education; mobile devices; mobile learning; structural equation model

Year:  2020        PMID: 34192098      PMCID: PMC8043501          DOI: 10.1109/ACCESS.2020.2994967

Source DB:  PubMed          Journal:  IEEE Access        ISSN: 2169-3536            Impact factor:   3.367


  2 in total

1.  Effects of Vegetation Phenology on Ecosystem Water Use Efficiency in a Semiarid Region of Northern China.

Authors:  Yaru Zhang; Jing Zhang; Jianyang Xia; Yahui Guo; Yongshuo H Fu
Journal:  Front Plant Sci       Date:  2022-07-04       Impact factor: 6.627

2.  An extended hesitant fuzzy set using SWARA-MULTIMOORA approach to adapt online education for the control of the pandemic spread of COVID-19 in higher education institutions.

Authors:  Mahyar Kamali Saraji; Abbas Mardani; Mario Köppen; Arunodaya Raj Mishra; Pratibha Rani
Journal:  Artif Intell Rev       Date:  2021-06-03       Impact factor: 8.139

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.