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The purpose of this research is to investigate the predictors of teachers?integrating IT into teaching innovations for the stages of before, during, after and overall teaching. The results show that six items from backgrounds, three items from knowledge and ability, four items from attitude, four items from school environment and two items from external environment can effectively predict teachers?integrating IT into teaching innovations. The overall prediction power is 49.9~56.5. The more effective predictors are: 1) whether or not the teaching course is computer related (the highest impacting power and the second predicting power); 2)knowledge and ability of integrating IT into teaching innovation (the second impacting power and the highest predicting power); 3) hours per week of computer use (the third impacting power and the forth predicting power) and; 4) understanding on IT integration into teaching innovation (the forth impacting power) . The importance of knowledge and computer ability (the second impacting power and third predicting power) on IT integration into the after teaching innovation stage is higher than those of the other two stages. The importance of students?learning attitude (he third impacting power and predicting power) on IT integration into the during teaching innovation stage is higher than those of the other two stages.
|Appears in Collections:||教師著作|
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