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.