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Initial Evaluation of AWSuM: A Pilot Study
Atsushi Mizumoto
– This article reports on a pilot study to evaluate usability, effectiveness, and impact of Academic Word Suggestion Machine (AWSuM), a webbased, innovative tool, powered by the combination of rhetorical moves and lexical bundles with an auto-complete feature.
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Paper type | Regular Article |
Pages | 46-51 |
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Abstract
This article reports on a pilot study to evaluate usability, effectiveness, and impact of Academic Word Suggestion Machine (AWSuM), a webbased, innovative tool, powered by the combination of rhetorical moves and lexical bundles with an auto-complete feature. Eight L2 writers participated in the study. Their open-ended comments after using the tool were qualitatively analyzed and classified in thematic categories. The results showed that the developed tool brought about beneficial effects that genre writing pedagogy explicitly aims to achieve. Implications are discussed in terms of the potential role that a tool like AWSuM could play in the teaching and learning of technology-enhanced genre writing.
Suggested citation
Mizumoto, A. (2017). Initial Evaluation of AWSuM: A Pilot Study. Vocabulary Learning and Instruction, 6(2), 46–51. http://dx.doi.org/10.7820/vli.v06.2.Mizumoto