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Research on Reliability and Validity of Mobile Networks-Based Automated Writing Evaluation
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Author(s): Fei Lang (School of Foreign Languages, Harbin University of Science and Technology, Harbin, China), Siyan Li (School of Foreign Languages, Harbin University of Science and Technology, Harbin, China)and Siwen Zhang (School of Foreign Languages, Harbin University of Science and Technology, Harbin, China)
Copyright: 2019
Volume: 10
Issue: 1
Pages: 14
Source title:
International Journal of Mobile Computing and Multimedia Communications (IJMCMC)
Editor(s)-in-Chief: Agustinus Waluyo (Monash University, Australia)
DOI: 10.4018/IJMCMC.2019010102
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Abstract
Pigaiwang, an automated writing evaluation (AWE) online platform, has been increasingly applied into English writing scoring in China. This article conducted research to empirically assess the reliability and validity of Pigaiwang under mobile networks. It introduces the background and previous works for AWE. Then, an experiment was implemented to evaluate the reliability and validity of Pigaiwang automated evaluation by comparing with the results of human raters and corpus-based assessment. The results show that Pigaiwang alone is not an adequate aid for English writing evaluation. It suggests that combining Pigaiwang, human raters, and corpus might be a beneficial trial for improving English writing mobile education.
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