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Student views of computer-composition effects on writing


Computers and Composition Volume 14, Number 1, ISSN 8755-4615 Publisher: Elsevier Ltd


The purpose of this study is to identify student ideas about the effect of computers on writing. Neural network analysis was employed to analyze 30 essays on this topic by community college students. The analysis showed co-occurring sets of words that could be classified into six idea clusters: evolutionary, futuristic, resource, cognitive process, teaching, and traditional. Each cluster suggests general ideas that pervade the essays; the resource cluster, for example, refers to spell checking, electronic dictionary use, and saving to diskette. The clusters of meaning confirm hypotheses that students simultaneously admire and fear the use of computers for writing.


Hubbard, D. & Walberg, H.J. (1997). Student views of computer-composition effects on writing. Computers and Composition, 14(1), 59-71. Elsevier Ltd. Retrieved February 26, 2021 from .

This record was imported from Computers and Composition on January 29, 2019. Computers and Composition is a publication of Elsevier.

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