Learning Readiness for Professional Development in Cloud Apps for Education: The Demographic Analysis of Teachers in Thailand

C. N. Bekolo *

Department of Management and Economy, University of Electronics Science and Technology of China, China.

S. Yufen

Department of Management and Economy, University of Electronics Science and Technology of China, China.

S. Ngamsom

English for Integrated Study (EIS) Association, Thailand.

*Author to whom correspondence should be addressed.


Abstract

The teaching profession in Asia in general, particularly in Thailand, is female dominated and more and more aging. As of 2012, approximately 56% of teachers in Thailand were women. 68% of the country’s basic education teachers and 61% of vocational education teachers are supposed to retire within the next 15 years. With the introduction of cloud computing in teaching, this study investigate the direct and indirect effect of age, gender and past training experience of 213 teachers on learning readiness for professional development in Google apps for education(GAFE). The results using multiple regression and sample paired test reveal that the model predicts 41% of variance on learning readiness ( R2 = .413 ) with female teachers above the age of  36 showing higher  learning readiness to integrate GAFE in teaching.

Keywords: Learning readiness, professional development, cloud computing, age, gender


How to Cite

Bekolo, C. N., S. Yufen, and S. Ngamsom. 2017. “Learning Readiness for Professional Development in Cloud Apps for Education: The Demographic Analysis of Teachers in Thailand”. Journal of Education, Society and Behavioural Science 22 (3):1-12. https://doi.org/10.9734/JESBS/2017/36569.