A Study of Influential Factors of Education Cloud Use Intention and Teachers'' Current Usage

碩士 === 淡江大學 === 教育科技學系碩士在職專班 === 103 === Based on Ajzen’s Theory of Planned Behavior (1991), this research aims to investigate the influential factors affecting teachers’ use intention and current usage of education cloud. This is a quantitative study. The survey data are collected from 308 elementa...

Full description

Bibliographic Details
Main Authors: Hung-ta Chang, 張弘達
Other Authors: Li-an Ho
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/02560481266218814092
Description
Summary:碩士 === 淡江大學 === 教育科技學系碩士在職專班 === 103 === Based on Ajzen’s Theory of Planned Behavior (1991), this research aims to investigate the influential factors affecting teachers’ use intention and current usage of education cloud. This is a quantitative study. The survey data are collected from 308 elementary school teachers in Taipei city and in New Taipei City. Descriptive statistics, t-test, ANOVA, Pearson Correlation and Regression are used to analyze the data. Results show as follows: 1. Male teachers and Section Chief of Information Technology are more likely to use education cloud. 2. Experienced teachers are more likely to use education cloud than junior teachers. 3. Teachers who spend longer time on internet are more likely to use education cloud. 4. Among cloud services, teachers use cloud email services most and need cloud storage services provided by authority agencies most. 5. Teachers who have used cloud services have higher use intention of education cloud. 6. There are significant differences in teachers’ perceived behavioral control and behavioral intention across gender and age groups. 7. There are significant differences in teachers’ behaviors and attitudes, perceived behavioral control and behavioral intention across various positions. 8. There are significant differences in all variables across teacher groups of different time spent on internet 9. Behaviors and attitudes can significantly predict use intention of education cloud 10. Among all variables, evaluation is the most powerful variable in predicting use intention of education cloud