• Title/Summary/Keyword: Automated Writing Evaluation(AWE)

Search Result 2, Processing Time 0.015 seconds

The University Students' Perceptions or Attitudes on the Use of AWE Program in English Writing (영어쓰기에서 AWE 프로그램 활용에 대한 대학생의 인식 및 태도 연구)

  • Im, Hee-joo
    • The Journal of the Korea Contents Association
    • /
    • v.20 no.5
    • /
    • pp.37-45
    • /
    • 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 2nd 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.

Effect of Using QuillBot on the Writing Quality of EFL College Students

  • Hye Kyung Kim
    • International Journal of Advanced Culture Technology
    • /
    • v.11 no.4
    • /
    • pp.42-47
    • /
    • 2023
  • The majority of research on Automated Writing Evaluation (AWE) programs has focused primarily on Grammarly, whereas QuillBot and its use in English as a Foreign Language (EFL) classrooms remains limitedly explored. This study examined the effectiveness of using QuillBot on the writing quality of college students. A total of 26 participants took pre- and post-writing tests, and four analytical tools were applied to assess their writing quality in terms of syntactic complexity, lexical diversity, lexical richness, and readability. Results of the syntactic complexity analysis across the four indices demonstrates that the syntactic complexity of EFL writing increased significantly, and substantial differences were observed in lexical richness and readability. These results suggest that QuillBot can compensate for the drawbacks of Grammarly and assist EFL writers in improving their overall writing quality.