• Journal of Digital Convergence
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• v.19 no.9
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• pp.1-8
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• 2021

The purpose of this study is to identify the influence of users' satisfaction with the Automatic Writing Evaluation(AWE) on learners' sense of learning achievement through self efficacy in English writing class. AWE is a tool that automatically provides feedback on writing outputs by AI technology. College students were asked to write essays for each topic and use AWE to get feedback on their drafts, and finally revise them referring to the feedback. A questionnaire survey was conducted for the data collection. The data was analyzed using SPSS, and smart PLS-SEM along with bootstrapping techniques, The results of the study reveal the followings: 1) the convenience and usefulness of AWE had a positive effect on the willingness to reuse it; 2) the satisfaction with AWE had a positive effect on self-efficacy; 3) self-efficacy had a positive effect on learning achievement in terms of emotional and linguistic aspects. With the development of the 4th industry and A.I. technology, it is recommended to introduce new materials or programs such as AWE in English education.

• The Journal of the Korea Contents Association
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• v.20 no.5
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• pp.37-45
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• 2020

The purpose of the study is to explore the perceptions or attitudes about utilizing the AWE(Automated Writing Evaluation), Grammarly in English writing. A total of 131 students who are in first grade and in beginner level participate in the study. As a research tool of the study, pre and post-surveys, pre and post-tests, and learning journals were collected and analyzed. The study was conducted for 15 weeks in the 2^nd semester of 2019. According to the results, the findings are as follows. First, the students in the study had difficulty with English grammar and found it useful to get English feedback in English writing. Next, the students showed positive attitudes toward the use of Grammarly. It was helpful for English learning and assignment performance and showed high usefulness. Finally, Grammarly's effect showed a statistically significant result between the pre and post-tests. Based on the results some suggestions are as follows. First, let the students take some time with the program to use to operate. Second, teachers have to make the students understand that AWE's feedback is not always correct. Lastly, it should be provided with teachers' feedback.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.315-319
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• 2022

This study investigates longitudinal writing development in terms of syntactic complexity using linear mixed effects (LME) model. This study employs essays written by four case study participants. Participants voluntarily wrote essays outside of the classroom and submitted the first and second drafts, after reflecting on the automated writing evaluation feedback (i.e., Criterion) every month over one year. A total of 48 first drafts were analyzed and syntactic complexity features were selected from Syntactic Complexity Analyzer. Results of LME showed that there was a significant positive linear relationship between time and mean length of T-unit and also between time and the ratio of dependent clauses to independent clauses, indicating that case study participants wrote longer T-units and also a higher proportion of dependent clauses over one year.