본 연구는 다국적 학생들로 구성된 혼합반을 대상으로 한 교양영어 수 업에서 많은 학습자들이 수업에 참여할 수 있는 방안을 고찰하고자 하였 다. 이를 위해 다국적 학습자들이 공통적으로 흥미를 보일 수 있는 친숙 한 주제를 선정하였고 다양한 주제와 관련된 창의적 과업 활동을 제시하 였다. 이에 대한 학습자들의 반응과 인식을 분석하기 위해 연구 방법으 로 개방형 설문지와 학습 저널이 사용되었고, 질적으로 수집 및 분석되 었다. 연구 결과 학습자들은 친숙한 수업 주제 선정에 대해 만족도가 높 은 것으로 나타났고(80%), 이에 대한 이유로는 재미난 학습 내용, 공감 되는 주제, 배경지식 습득 등으로 나타났다. 창의적 과업 활동에 대한 만 족도 또한 높은 것으로 나타났고(85%), 이러한 만족도가 높은 이유로 적 절하게 할 수 있는 어렵지 않은 과업 난이도, 창의적 활동, 흥미와 동기 부여 등으로 나타났다. 세계화 시대에 다국적 학습자들을 위한 개인별 맞춤 학습이 가능한 다면적 과업 모형에 대한 다양한 모색이 이루어져야 할 것이다.

The purpose of this study was to investigate how the English speaking ability of Korean EFL college students was affected by their interactions with Talk-to-ChatGPT while taking an ‘English Interview’ class. Thirty pieces of English conversation scripts with thirty chatbot conversations created by five students were collected for analysis. Two online text analysis programs, Quillbot including word counter and grammar checker and T.E.R.A.(Text Ease and Readability Assessor), were used for data analysis. The findings of data analysis revealed that 1) The average length of the sentences and words spoken by the participants has increased through English speaking practice using Talk-to-ChatGPT, and 2) There was no significant change in text ease and readability, and coherence of students’ utterances through English speaking practice using a chatbot while there were differences depending on their English proficiency levels. 3) Students A, B, and D, who had relatively low levels of English proficiency, showed a slight increase in syntactic accuracy and semantic clarity in their English interview practice. Based on the study findings, pedagogical implications for the effective use of AI-based apps or programs in English speaking classes were presented.

This study analyzed the patterns of relative clauses (RCs) used on the College Scholastic Ability Test (CSAT), a standardized test for college admissions in Korea. The researchers investigated the Noun Phrase Accessibility Hierarchy and the impact of the antecedent’s animacy on RCs. Also, it was explored how NPs in the subject position of object RCs affected language processing, specifically, the condition where relativizers were omitted and the reasons for producing passive subject RCs. Data were collected from the CSAT and mock tests from 2019 to 2023. The analysis of 622 RCs yielded the following results: First, the frequency of RCs appeared in the following order: subject RCs, object RCs, then OBL. Second, the object RCs showed a preference for inanimate antecedents whereas the subject RCs used did not show a preference for animate antecedents. Third, NPs in the subject position with sentences containing object RCs predominantly took the form of pronouns, with common nouns used less frequently.

In this study, the continuity of reading passages from high school mock College Scholastic Ability Test (CAST) English exams across grade levels was investigated using Coh-Metrix. A corpus consisting of 525 reading passages, evenly distributed with 175 passages from each high school grade level, was compiled from the 2017-2023 mock CSAT English exams administered by the Seoul Metropolitan Office of Education. Coh- Metrix measures included basic counts, word frequencies, word features, lexical diversity, personal pronouns, connectives, standard readability, syntactic complexity, coreference, and semantic cohesion indices. The analysis revealed significant differences among grade levels in the reading passages of the mock CSAT English exams in measures such as word counts, average word and sentence length, nouns, age of acquisition, second person pronouns, standard readability, and subject density indices. These findings highlight the potential for refining the design and construction of reading passages in mock CSAT exams to better prepare students for the linguistic challenges presented in the actual high-stakes CSAT.

To address the English proficiency of underachieving college students, universities often use in-house language tests. C University lacks specific exams for identification, and relies on students’ English performance in the Korean College Scholastic Aptitude Test (CSAT English). This research explores the potential of the TOEIC Bridge, a standardized English proficiency test developed for middle and high school students, to provide an effective, practical measure for screening underachieving students in English. The study investigates the relationship between TOEIC Bridge and CSAT English performance, evaluating the predictive value of TOEIC Bridge on CSAT outcomes. Analyzing data from 418 students, the study identified (1) a moderate correlation between TOEIC Bridge and CSAT English performance, and (2) predictability of CSAT English performance based on TOEIC Bridge, suggesting that TOEIC Bridge can provide a potential tool to identify underachieving students in English. These findings contribute pedagogical insights for tertiary education.

This study analyzes students’ use of ChatGPT prompts to explore its potential as a supplementary feedback tool in English writing classes. Thirty-one pre-service teachers participated and were divided into high, middle, and low groups based on their self-evaluation, standardized test scores, and essay scores prior to receiving ChatGPT feedback. The data sources included their two essays, ChatGPT prompts, questionnaires, and transcripts from the second writing conference. The ChatGPT prompts and questionnaires were analyzed using descriptive statistics, and the writing conference transcripts were examined to understand the participants’ use of prompts. The results showed participants used prompts 40 times in the first assignment and 175 times in the second assignment. The average prompt usage increased from 1.5 times in the first assignment to 6.7 times in the second assignment. In terms of students’ levels, the high group used more prompts (5.58 times) than the middle (5 times) and the low groups (1.75 times). Notably, students who used ChatGPT commands five times or more were mostly from the high and middle groups. Differences in prompt usage patterns were also identified, with the high and middle groups engaging in more continuous and interactive conversations with ChatGPT. Students expressed satisfaction with ChatGPT’s feedback, particularly in vocabulary selection, grammar correction, and sentence generation.

본 연구는 영어 수업 외 교실을 벗어나서 영어를 학습해야 하는 학습 자들의 부담감을 해소시키기 위해 영어 수업 시간에 활용할 수 있는 교 재 맞춤형 학습 앱의 활용을 제안하고자 하였고 교재 맞춤형 학습 앱의 사용에 대한 학습자의 태도와 인식을 함께 분석하고자 하였다. 이를 위 해 교재의 각 챕터별 주제에 맞게 제작된 학습 앱이 다각적인 측면에서 사용되었다. 앱을 활용하여 어휘 학습, 듣기, 말하기, 읽기, 챗봇과의 대 화나 토론과 같은 학습 활동이 이행되었다. 연구 평가를 위해 자가 평가 일지와 설문 조사를 분석하였다. 연구 결과 교재 맞춤형 학습 앱에 대한 학습자들의 만족도는 높은 것으로 나타났다(80.5%). 교재 맞춤형 앱 활 용에 대한 만족도가 높은 이유는 개인의 다양한 학습 욕구가 충족되었다 는 점, 앱 콘텐츠가 다양한 점, 이로 인해 학습에 대한 재미와 관심이 유 발된 점, 또한 교재와의 연계성이 높은 점으로 나타났다. EFL 교실에서 효율적으로 사용될 수 있도록 교재에 맞게 제작된 학습 앱은 학문 분야 별로 활발하게 개발될 필요가 있다. 교수자들은 교수요목에 맞게 학습자 의 흥미와 자기 주도적 참여를 유발시키기 위해 학습 앱과 같은 테크놀 로지를 적극적으로 활용해야 할 것이다.

본 연구는 챗GPT를 대학 교양영어 수업의 학습 도구로 활용하는 효과 적인 수업구성을 하는 것을 목표로 하고 있다. 구체적인 논의는 다음의 네 가지이다. 첫째, 교육계에서 챗GPT 사용에 관해 찬반 논쟁이 있음에 도 불구하고 생성형 AI가 교육계에 큰 변화를 가져올 것이라는 점에는 거의 이견이 없다. 둘째, 챗GPT를 사용함에 있어서 발생 가능한 문제점 을 팩트 체크의 부재, 지적 재산권의 문제, 문해력 저하로 정리하였다. 학습에서 챗GPT를 도구로 사용하기에 앞서서 이러한 문제점들을 학습자 들에게 반드시 인식시키는 교과과정을 만들어야 할 것이다. 셋째, 교육현 장에서 챗GPT를 사용하기 위해서 학습자에게 선제적으로 인식시켜야 할 점은 생성형 AI가 학습의 도구로서의 역할을 하며, 학습자가 인공지능에 의존하는 것이 아니라 인공지능과 협업을 한다는 것이다. 넷째, 학습능력 이 매우 상이한 학생집단을 대상으로 챗GPT를 학습도구로 사용하기 위 해서는 그룹별 협업을 통한 활동이 중요하다. 그룹원들의 다양한 질문을 인공지능에 주입하여 다채로운 결괏값을 얻어 지식을 창조적으로 (재)생 산할 수 있기 때문이다. 본 연구의 의의는 연구에서 제시하는 수업구성 을 실제 수업에 적용하여 또 다른 연구물을 도출할 수 있다는 점이다.

This study explores ways to enhance pre-service English teachers’ curriculum development competency through collaboration with in-service teachers. To this end, a course was designed to incorporate three key competencies of curriculum development (curriculum literacy, curriculum development competency, and curriculum evaluation competency) while adopting task-based language teaching and collaboration with inservice teachers as teaching methods. The designed course was implemented in a university for validation and revision. Ten pre-service English teachers participated in the course, where they developed English curricula in response to requests from three in-service middle school English teachers. A questionnaire survey conducted at the end of the semester with both pre-service and in-service teachers revealed that the proposed course model adequately worked to improve the three key competencies of English curriculum development among pre-service teachers. Further, collaboration with inservice teachers was found to enhance pre-service teachers’ responsibility and active engagement in curriculum development, while also providing practical assistance and creative teaching ideas to in-service teachers.

Previous studies on English spelling have investigated the types of spelling errors and their frequencies, and studies on why learners made those errors have been called for. This study aimed to identify factors leading to errors in the English-spelling of Korean elementary school students. The factors were investigated by using the following methods: A total of 130 students from O Elementary School were given three types of word-writing tasks: dictation of single words, dictation of short sentences, and writing words as many as the students can based on pictures depicting familiar scenes. The errors in their writing samples were classified into five types. The students were interviewed about why they made those errors. The results showed that the errors were influenced by the factors: the students’ first language, background knowledge, pronunciation, and morphological reasons. The results suggest that if teachers understood these factors, they would be able to explore better teaching methods for reducing errors in English spelling, and that future research could apply these factors for further investigations.

The present study aimed to explore how pre-service teacher’s individual regulatory focus orientation, currently emerging as an interesting learner variable for language learning, could influence their Englishspeaking abilities. English teaching demonstration videos of 67 pre-service teachers were analyzed in terms of pronunciation, accuracy, and fluency. The regulatory focus orientations of participants were evaluated using a questionnaire. The results of data analysis, using multiple regression analysis, indicated that promotion-focus orientation was a significant positive predictor for pronunciation, fluency (words per minute, ratio of dysfluency), and accuracy (lexical errors, ratio of error-free AS-units). On the other hand, prevention-focus orientation did not emerge as a statistically significant factor affecting accuracy. However, it was observed to have a negative influence on both pronunciation and fluency. In light of the research findings that highlight the favorable impact of a promotion-focus orientation, suggestions were made for future teacher training programs aimed at enhancing the English proficiency of pre-service teachers.

This study aimed to explore the impact of AI image generators on the affective factors of college-level English learners and the correlations among these factors. During a four-week instructional period, 65 participants were asked to use Midjourney as an AI tool for their user experiences. Affective factors including interest, confidence, and participation were measured through pre- and post-surveys. Using Jamovi for analysis, significant improvements were discovered across all affective factors. Noteworthy improvements occurred in confidence, indicating a favorable impact by AI-generated images on English learning. Additionally, correlation analysis demonstrated significant positive relationships between interest and confidence, as well as confidence and participation. This confirms the interconnected nature of these affective elements in the learning process. The findings suggest that the educational use of image-generating AI tools can beneficially influence English learners’ affective domains. The study calls for further investigation into the pedagogical applications of image AI to foster a more interactive, engaged, and self-assured attitude towards language learning.

In light of the expanding use of technology in education, we attempted to analyze how Korean college students perceived the use of Machine Translation (MT) tools in the classroom. Specifically, this study attempted to explore students’ perceptions of their ability to use MT tools and to measure the reliability of the MT-generated output, along with measuring students’ general sense of confidence in English learning. This research analyzed 183 EFL college students’ responses to an online survey, and a one-way ANOVA was used to test for the differences in the averages of three groups. The results of data analysis revealed that 1) Among beginners, intermediate learners, and advanced learners, those self-identifying as advanced had the highest scores on all the factors measured.; 2) There was a significant mean difference in students’ perceptions of the ability to use MT tools, their beliefs regarding MT’s effectiveness as a learning tool, and affective attitudes towards the use of MT tools between beginner and advanced groups. Based on the findings, pedagogical implications for the effective use of MT tools in the Korean EFL classrooms, and suggestions for future research were presented.

해사영어는 선박 운항, 해양 안전, 선내 의사소통 및 선외 교신을 위해 설계된 특수한 영어 언어체계이다. 국제해사기구 STCW(선원의 훈련, 자격증명 및 당직근무의 기준에 관한 국제협약)에 따르면 국제항해에 종사하는 항해사가 되기 위해서는 SMCP를 포함한 해사영어 대한 충분한 이해가 수반되어야 한다. 본 연구는 음성인식, 번역, 단어 기입 등 유형의 해사영어시험을 통하여 학생들 의 해사영어 활용 능력을 측정하고 플랫폼 사용에 따른 시험 점수 향상 정도, 나아가 초임항해사로 나가기 위하여 요구되는 해사영어 시험 플랫폼 활용 시간 등을 조사하고자 하였다. 실험은 먼저 초기 시험을 통해 학생들의 일반영어능력과 SMCP 활용 능력에 대한 연 관성을 조사한 후, 중간 시험 및 최종 시험을 통해 플랫폼 활용에 대한 점수 향상 정도, 응시시간 변화 등 요인을 측정하였다. 초기 시 험을 통해 개인 요인(예: 토익 점수, 본인 스스로에 대한 영어능력 평가)에 따른 그룹 간 해사영어시험 점수에 유의한 차이가 있음을 확인하였으며, 중간시험 및 최종시험을 통해 플랫폼 활용이 유의한 시험점수 향상으로 이어졌음을 확인하였다. 해당 연구는 해사 교육 분야에 다양하게 적용할 수 있는 학습 플랫폼 활용 효능을 조사하였으며 향후 해사영어 교육 외 그 범위를 넓혀 활용될 수 있을 것으 로 사료된다.

The purpose of this study is to compare and analyze the perceptions and attitudes of adult native speakers of Korean and Chinese toward the pronunciation of World Englishes. Fifty-two Korean and 63 Chinese speakers listened to six variations of World Englishes and then completed a questionnaire outlining their perceptions and attitudes toward the different pronunciations. The survey results revealed that Korean adult English learners showed less favorable attitudes toward different pronunciations of World Englishes than Chinese adult language learners did. Korean adult learners preferred American English, but Chinese adult learners preferred Canadian English. Among the three individual variables measured, the first language showed the greatest influence in their responses. The findings of this study imply that, in the context of English education in Korea, it is necessary to raise the awareness of both teachers and learners to the acceptability of World Englishes through exposure to a wide variety of English pronunciations.

본 연구에서는 BTS의 노래가사 언어 코드 비율 변화와 트위터 내 팬 덤 아미(ARMY)의 메타언어적 코멘트를 통해 BTS 현상에서의 언어 이 데올로기를 탐구하였다. 분석대상은 2013년부터 2022년까지 BTS의 앨 범에 포함된 121곡의 노래이다. 연구결과, 영어 코드 선택 비율은 꾸준 히 증가하여 2013년 21.2%에서 2022년에는 57.5%까지 상승하였으며, 반면에 한국어 코드 선택 비율은 2013년 78.8 %에서 점차 하락하여 42.5%로 감소하는 양상을 확인했다. 또한 트위터에 나타난 팬들의 메타 언어 코멘트를 분석한 결과, 언어 민족주의적 순수주의의 태도와 반-언 어 민족주의적 순수주의의 태도가 대립하는 형태를 관찰하였다. 언어 민 족주의적 순수주의의 태도를 가진 팬들은 한국어 사용을 한국적 정체성 의 실현으로 연결 짓고, 영어 코드의 증가를 우려하는 경향을 보였다. 한 편, 반-언어 민족주의적 순수주의의 태도를 가진 팬들은 BTS의 언어 코 드 선택과 정체성의 연결을 지양하며, 언어 코드 선택에 대한 비판에 저항하는 모습을 보였다. 이러한 연구결과를 바탕으로 BTS는 적절한 언 어 코드를 사용하여 글로벌 팬들과 소통함으로써 다양성과 포용성을 장 려하고, 팬덤 "아미"는 언어 선택 행위에 대한 이해와 존중을 확대함으로 써 언어 이데올로기에 대한 인식을 높일 수 있는 방안을 제공하였다는 점에서 의의가 있다.

This study aimed to find out the direction of reinforcing the subject special description as English records. The study analyzed the English subject description data published in 2017 and 2020 by the Ministry of Education. Focus group interviews were conducted with a total of 18 teachers, 6 each for elementary, middle, and high school. Analysis results of the 2017 data showed that the elementary data had a weak link with the curriculum, middle school data focused on functional areas rather than knowledge or attitudes, and high school data only presented examples of students with high achievement levels. On the other hand, the 2020 data includes not only subject special description but also teachers' content of teaching and evaluation materials according to achievement standards. Based on the results, the introduction of Likert scales and the creation of vocabulary groups by achievement standards are suggested.

This study compared research trends in universities general English program before and after the COVID-19 pandemic. After analyzing 248 articles from KCI using frequency analysis, centrality analysis, and topic modeling, this study found consistent keywords indicating a focus on learning objectives, effectiveness analysis, satisfaction surveys, and level-based learning before and after the COVID-19 pandemic. Centrality analysis revealed keywords like “teaching, research, analysis” before COVID-19 and “satisfaction, study, level, activity, effect” after COVID-19, indicating a shift towards learner satisfaction, level-based learning, and effectiveness analysis due to the transition to online learning. Topic modeling revealed shifts in research trends: Pre-COVID-19 focused on effective teaching methods, evaluation techniques, and cultural content, while Post-COVID-19 prioritized online teaching methods, web-based platforms, and selfdirected learning. Future research should address self-directed learning, attitudes and goal setting, closing learning gaps in online/blended learning, and developing effective online assessment tools and evaluation strategies. This study provides valuable insights and directions for further research in general English programs.

The current study presents a methodology of teaching the connotations and nuances of the word Han (恨) to English-speaking Korean language learners. Since Han (恨) expresses unique and traditional aspects of Korean sensibilities, the goal would be for native English speakers to be able to understand the complexities of its meaning, in spite of the differences in culture background. To this end, research was done into how Han (恨) is translated into English, as there is no term in English with the same meaning. From these findings, a list of Korean vocabulary related to the meaning of Han (恨) was made to show its definitions in English. In addition, a survey was conducted on 42 Americans to find out how English speakers understand Han (恨). As a result of this research, the current study demonstrates the need to teach the meaning of Han (恨) to Korean language learners from English-speaking countries, and suggests a teaching methodology which follows the order of Pre-Class, In-Class and After-Class study based on the Flip-Learning model.

This study aims to investigate the effects of using AI chatbots in Korean English education from a macro perspective. For this purpose, 19 experimental studies are selected to conduct a meta-analysis, synthesizing the results of 51 individual study cases. The results of this study are as follows: First, it is found that the overall effect size of using chatbots is more than medium size meaning that a chatbot is an effective tool to learn English. Second, in the aspects of linguistic competence and affective categories, each shows over medium sizes like the overall effect size. In details of the dependent variables, vocabulary and speaking in linguistic competence and motivation in affective categories, large effect sizes are shown. Third, the effect sizes are getting larger, as the younger the students are, the longer the experiment period lasts, and the more purpose-built the chatbot is. But the differences in the effect sizes in terms of these moderators (e.g., school level, experiment period, and chatbot type) are not significant. Lastly, it is suggested that follow-up studies are needed to collect a sufficient number of experimental study cases and subdivide the variables for performing a more detailed meta-anlysis.