The Effect of Teachers’ Background Variables on Teachers’ Information Literacy : A Meta-analysis

• Main Authors: Chun-Hsien Ho, 何俊賢
• Other Authors: Kun-Yuan Yang
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/02278656765628722038

碩士 === 中原大學 === 教育研究所 === 95 === The research provides a objective analysis on 41 studies with theme of Teachers’ Information Literacy via Meta-analysis. The researcher used 3 kinds of meta-analysis (Hedges & Olkin, 1985; Hunter & Schmidt, 2004; Rosenthal, 1991), devised Meta-Excel for calculating the Effect Size to realize the variables on how teachers’ background affects their information literacy. Besides, the reasercher also explored the intermediate variables by homogeneous test. The variables of teachers’ background covers gender, age, seniority, the highest educational background and job function. The variables of information literacy includes information cognition, and the literacy of library, computer operation, internet appilication, information ethics and multimedia intergration. The research results in the following conclusions. 1.Gender has significant difference in information cognition and literacy of library, internet application, information ethics and multimedia interation. 2.Age has significant difference in information cognition and literacy of library, internet application, information ethics and multimedia interation. 3.Seniority has significant difference in literacy of internet appilication, information ethics and multimedia intergration. 4.The highest educational background has significant difference in information cognition and literacy of library, internet appilication and computer operation and multimedia intergration. 5.Job function has significant difference in all the five information mentioned above. 6.In Taiwan, male teachers with age under 40, seniority under 10 years, master degree at least, administrative work perform better on all the literacy than other teachers. 7.The intermediate variables are difficult to find after combining the particular variables. 8.Hunter and Schmidt’s (2004) multi-anaysis is more sutible for the investigation with enormous samples. The significant test and verification result from this method is more steady.