[논문]영어 자동쓰기평가(AWE) 사용만족도가 자기효능감을 매개로 학업성취감에 미치는 영향: PLS-SEM 모델 분석

주미란

doi:10.14400/jdc.2021.19.9.001

[국내논문] 영어 자동쓰기평가(AWE) 사용만족도가 자기효능감을 매개로 학업성취감에 미치는 영향: PLS-SEM 모델 분석
The influence of users' satisfaction with AWE on English learning achievement through self-efficacy: using PLS-SEM 원문보기

디지털융복합연구 = Journal of digital convergence, v.19 no.9, 2021년, pp.1 - 8

주미란 (단국대학교 자유교양대학)

초록
AI-Helper

이 연구의 목적은 영어쓰기 교과목에서 자동쓰기평가(AWE) 프로그램의 사용자 만족도가 영어쓰기 자기효능감을 매개로 학습자의 학습성취감에 미치는 영향을 알아보기 위한 것이다. AWE는 쓰기 결과물에 대해 인공지능 기술에 의해 자동으로 피드백을 제공하는 프로그램이다. 영어쓰기 교과목을 수강하는 대학생을 대상으로 각 주제별로 작문을 하고 AWE 프로그램을 사용하여 피드백을 받은 후 그것을 참고하여 최종 수정본을 제출하도록 하였다. 설문지를 통해 수집된 데이터(n=99)를 SPSS, Smart PLS-SEM으로 분석하였다. 연구결과, 첫째, AWE의 사용 편의성과 유용성은 재사용 의지에 긍정적 영향을 미치는 것으로 나타났다. 둘째, AWE 사용 만족도는 영어쓰기 자기효능감에 긍정적 영향을 미치는 것으로 나타났다. 셋째, 영어쓰기 자기효능감은 언어적, 정서적 측면에서 학업 성취감에 긍정적 영향을 미치는 것으로 나타났다. 4차 산업 및 인공지능 기술 발달에 따라 영어교육에 AWE와 같은 새로운 학습재료 도입을 권장한다.

Abstract ▼ AI-Helper

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.

Keyword

표/그림 (10)

그림 Fig. 1. Research model
그림 Fig. 2. Example of scribens.com's feedback
그림 Fig. 3. Example of student's submission
표 Table 1. Items and contents of the questionnaire
표 Table 2. Demographic data
그림 Fig. 4. Analysis result of structural equation model
표 Table 3. Construct reliability and validity
표 Table 4. HTMT(Heterotrait Monotrait Ratio)
표 Table 5. Results of hypotheses testing
표 Table 6. Predictive relevance and Model fit

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