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      • KCI등재

        국가수준 학업성취도 평가 2019년~2021년 고등학교 영어과 인지적∙정의적 특성 변화 추이 분석

        주헌우(Hunwoo Joo) 한국영어평가학회 2022 영어평가 Vol.17 No.2

        The present study was designed to look into the tendency of the educational achievements and the affective features of Korean high school students on the English language from 2019 to 2021 under the revised 2015 national curriculum. In order to serve the purpose of the current research, student performance was analyzed based on the four performance levels of the four language skills and on such competencies as English communication and knowledge-information processing skills. The results showed that the performance of the students in the top two achievement levels especially on the speaking skill had fallen as far as over fifteen percentage points from 2019 to 2021. In addition, concerning the perceptions on the English language, the participating students tended to have thirty to forty percentage points less self-efficacy and interest than value and learning motivation. In sum, a wide variety of supporting policies need to be developed in order to make up for the lowered English speaking skills and to help those in lower achievement levels improve their English language ability as well as increase their self-efficacy and interest in English.

      • KCI등재

        ChatGPT의 영어 문법성 판단에 근거한 타당성 검증

        이명원(Myungwon Yi),주헌우(Hunwoo Joo),최희(Hee Choi),최인철(Inn-Chull Choi) 한국영어평가학회 2023 영어평가 Vol.18 No.2

        The present study is aimed at validating the efficacy of ChatGPT based on its explanations of grammatical concepts. Given the fact that more and more English teachers refer to ChatGPT for the purpose of judging grammaticality, this study attempts to probe the potentials and challenges of ChatGPT for English education and assessment. ChatGPT’s explanations of 140 paired sentences from 11 grammatical categories including sentence types, verbs, verbals, passive voice, subjunctive mood, relatives, special structures, conjunctions, nouns-articles, adjectives-adverbs, and prepositions were collected and examined to identify the extent to which the information was valid. The results were then compared against such authoritative corpus resources as the Corpus of Contemporary American English (COCA) and Google Books Ngram Viewer (GBNV). The results revealed the average accuracy of the explanations provided by ChatGPT was approximately 73%. While some grammatical explanations of ChatGPT were accurate, 27% of explanations included misleading or even self-contradictory information. According to the survey, the majority of teachers think somewhat favorably of ChatGPT’s potential for teaching and testing, but they are aware of its inherent inaccurate information. Overall, the findings suggest that even ChatGPT’s state-of-the-art technology has yet to meet the adequacy of grammaticality for teaching and testing and that it be supplemented by authoritative English corpora.

      • KCI등재

        온라인 기반 고등학교 영어 말하기 수행평가 지원 시스템 개발 및 시범적용

        이문복 ( Lee Moonbok ),주헌우 ( Joo Hunwoo ) 한국멀티미디어언어교육학회 2017 멀티미디어 언어교육 Vol.20 No.1

        The main purpose of the present study is twofold: firstly to develop an Internet-based English speaking performance assessment support system(ESPASS) and secondly to apply ESPASS in high schools in order to investigate its usefulness for both teachers and students. For this study, 13 English teachers and 835 students from 11 Korean high schools participated in the field test of ESPASS. A post field test survey and in-depth interview were carried out respectively with the students and the teachers. Another survey was conducted with 80 English teachers who attended the workshop on best practices in the use of ESPASS. The field test results indicated that the teachers and the students were satisfied with the convenience and usefulness of ESPASS. Especially, the workshop participants showed high satisfaction with ESPASS. Based upon the results, some pedagogical implications and policy suggestions were discussed for expanding online English speaking performance assessment.

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