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Predicting Student Teacher Commitment to the Use of Computers

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Robin Holding Kay at University of Ontario Institute of Technology
Robin Holding Kay
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Abstract

This study explored the effectiveness of computer attitudes, computer literacy, computer locus of control, and gender in predicting commitment to the use of computers. Three hundred and eighty-three education students, completed a survey about commitment to the use of computers (actual use, interest, and promotion), computer attitudes (affective and cognitive), computer literacy (experience, basic skills, application software, awareness, programming), and locus of control (specific to the use of computers). The results suggest that cognitive attitude, awareness, and application software ability were the best predictors of commitment to the use of computers. Less effective, but significant predictors, included affective attitude, locus of control and gender.
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Kay, R. H. (1990). Predicting student teacher commitment to the use of
computers. Journal of Educational Computing Research, 6(3), 299-309.
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