본 연구 논문은 우파마뉴 채터지의 소설 􋺷영어, 8월􋺸를 통해 도시 인도 생활을 분석한다. 이 소설은 인도 사회, 관료제, 문화적 역학을 탐구하며, 도시 현실을 복합적으로 조망한다. 주인공의 삶을 분석함으로써 현대 인도 사회를 지배하는 긴장, 모순, 그리고 열망을 밝혀낸다. 주요 주제는 관료제, 문화적 갈등, 사회적 불평등, 정체성, 그리고 도시 맥락에서의 실존적 위기이다. 본 연구는 도시의 복잡성을 이해하고, 포스트식민지 인도의 삶을 형성하는 사회적·문화적·제도적 역학에 대한 통찰을 제공하 는 것을 목표로 한다.

This study examined subject-auxiliary inversion errors in wh-questions produced by 88 Korean EFL elementary learners, focusing on whether types of wh-words and auxiliaries could affect inversion acquisition and whether explicit instruction on movement rules could facilitate this process. Guided writing tasks were used as a pretest and a posttest to analyze influence of wh-words and auxiliaries on learners’ inversion in the pretest and effects of instruction on movement rules in the posttest. Results showed that both whwords and auxiliaries significantly influenced learners’ inversion acquisition. Learners struggled more with why-questions than with what-questions, which were selected as representatives of adjunct and argument wh-questions, respectively. More inversion errors occurred in wh-questions requiring do-support than in those involving auxiliary be or modal will, although no significant difference was found between be and will. Experimental lessons with brief explicit instruction on auxiliary movement during regular classes significantly improved learners’ inversion accuracy, particularly in dosupport questions, which posed the greatest challenge in the pretest.

This study examines public perceptions and language ideologies regarding English use in Korea‘s linguistic landscape by analyzing 2,191 online news comments concerning the English-only menu controversy in 2023. The analysis reveals that negative comments (89%) significantly outnumbered accepting ones (11%). Critical responses view English use as displaying pretentiousness and cultural subservience while posing a threat to Korean linguistic and cultural identity. Critics raise concerns regarding language use, such as incorrect English usage, inconsistent bilingual practices, and discrepancies between displayed and actual proficiency. They also point to issues of information accessibility and the broader trend of excessive English use in Korean society. By contrast, accepting perspectives justify English menu use based on business owners’ autonomy, strategic marketing, the basic comprehensibility of the English used, and the naturalness of English use in the global era. The findings highlight that monolingualism prevails, with English perceived as distinctly “foreign,” while also revealing contradictions in public attitudes, including overreliance on foreign validation of Korean, conflicting views on linguistic hierarchy, and ambivalent attitudes toward English proficiency. This study contributes to a better understanding of public perceptions of English in Korea‘s linguistic landscape and the ideological dynamics underlying language choice in public spaces.

This study aims to see if task-based flipped learning (TBFL) can be effective in developing university students’ self-regulated learning. The specific research question is: Does TBFL have a positive impact on learners’ self-regulated learning attitude in cognitive, motivational, and behavioral domains? The research took place at a university English class where a total of 12 students participated for 15 weeks in the fall semester of the year 2023. In order to answer the research question, the self-regulated learning attitude inventory was used along with focus-group interviews and class observation. Due to the limited number of participants, frequency analysis was made for the quantitative data. Major findings were revealed as follows: Firstly, a high level of self-regulated learning attitude was found in all factors in the cognitive domain except for ‘Planning and Monitoring.’ Secondly, positive responses shown in the entire factors in the motivational domain led to greater interest and self-efficacy. Lastly, in the behavioral domain, positive responses were revealed except for ‘Time Management & Environment Setting,’ which seems to be related to the problems found in the cognitive domain’s ‘Planning and Monitoring.’

The purpose of this study is to examine learners’ perceptions of AI-based machine translation (MT) in high school ‘Reading British and American Literature’ classes. This research explored how students perceived the impact of MT on their class participation, learning motivation, confidence in English use, and improvement in English ability. The study also examined how the effectiveness of MT use differed according to students’ English proficiency levels. A total of 153 third-year students participated in a nine-week English literature course. Data were collected through an online survey and statistically analyzed. The findings reveal that students showed positive perceptions regarding class participation, learning motivation, confidence in English use, and improvement in English ability. Notably, participation in the English literature classes using AI-based MT was significantly higher than that in other English classes. Analysis by English proficiency levels showed no significant differences in class participation and affective factors (learning motivation and confidence). However, lower-proficiency learners perceived greater improvement in English proficiency compared to higher-proficiency learners. These results suggest that incorporating AI-based MT in English literature classes can create an inclusive learning environment that supports learners across different proficiency levels, particularly benefiting lower-proficiency students in terms of improvement in English ability.

This study developed and implemented an elementary English writing program using image-generative AI to examine its effects on students’ writing abilities and affective domains. The program was designed following the ADDIE model and aligned with the 2022 Revised English National Curriculum. It used Padlet’s ‘I Can’t Draw,’ allowing students to create images based on their prompts. Eighty sixth-grade students participated, with data collected through pre- and post-writing tests, affective domain surveys, student work, reflections, and teacher interviews. A mixed-methods analysis, combining ANCOVA and content analysis, revealed the following: (1) The program improved the syntactic and lexical complexity and fluency of students’ writing, but not accuracy. (2) Students’ situational interest significantly increased, but individual interest did not. Additionally, students’ engagement and motivation in learning English improved. These findings indicate that image-generative AI is an effective tool for enhancing English writing lessons and providing feedback. The study also emphasizes the critical role of teacher competence in successfully integrating AI into language instruction.

The purpose of this study was to analyze English subject-specific descriptions through text mining, examine their alignment to the curriculum achievement standards, and ultimately support students’ educational growth. We collected English subject-specific descriptions for 1,030 tenth-graders from general high schools in City A, and keywords and contexts were extracted using TF, TF-IDF, phi coefficient analysis, and trigram analysis. The results revealed that the subject-specific descriptions frequently neglected the following aspects of learning and instruction in curriculum achievement standards: familiar and general themes, conversation and listening skills, language use across different types of information, and proper email writing. Although descriptions are intended to reflect students’ actual achievement levels, those for lower achievement levels (i.e., D and E) were often overstated. Improvements are necessary to ensure closer alignment between the descriptions and the curriculum achievement standards, with particular emphasis on the accurate representation of lower achievement levels. Based on the findings, we discussed potential improvement strategies for educational authorities to consider and implement.

This study investigates the effect of team-teaching between Korean English teachers and native speakers of English on English learning anxiety. A total of 248 elementary students in grade 6 participated in this study. One group of students were taught by Korean English teachers and native speakers of English while the other group never had the opportunity to speak with a native speaker in class. A survey questionnaire based on FLCAS (Foreign Language Classroom Anxiety Scale) was newly developed to investigate how the two groups showed differences in English learning anxiety in class. The exploratory factor analysis was undertaken to suggest a three-factor solution. The two groups showed differences in English classroom anxiety and confidence in communication with native English speakers. On the other hand, fear of negative evaluation did not show any significant differences between the two groups. The students who experienced team-teaching showed more confidence in communication with native speakers only at a rudimentary level. Therefore, native English-speaking teachers should make their efforts to develop the skills to promote students’ confidence and higher level of communicative abilities.

This study examined the effects of creating English picture books using generative artificial intelligence (AI) on Korean high school students’ reading and writing skills, AI literacy, and self-efficacy. Forty-five students were divided into two groups and participated in tasks that included selecting a character from English-speaking cultures, generating images using Bing Image Creator, drafting and revising stories with ChatGPT, and creating audiobooks with ClovaDubbing. Reading and writing skills were evaluated using pre- and post-tests, and AI literacy as well as affective factors, including selfefficacy, were measured through surveys. The results indicated a significant improvement in students’ writing skills and self-efficacy, whereas reading skills did not demonstrate statistically significant progress. The study underscores the potential of generative AI as a tool for enhancing writing skills, AI literacy, and self-efficacy in language learning. However, it also emphasizes the need for further pedagogical efforts to design instructional strategies that effectively improve reading skills. These findings offer practical guidance for integrating generative AI into EFL education to enhance language learning and AI literacy.

This study aims to analyze the degree of importance and performance that in-service primary English teachers attribute to edutech, which is widely used in primary education. To this end, 57 primary school teachers at public elementary schools in Gangwon State responded to a questionnaire related to their ability to understand and utilize edutech in education. The results examined the difference between importance and performance through SPSS and IPA analysis. The findings are summarized as follows. First, descriptive statistics on edutech understanding showed the importance of most items was higher than their performance levels, and the results of the sample t-tests also showed a significant difference. The results of the IPA analysis demonstrated the areas requiring focus were related to diagnosing the learning process and monitoring progress through edutech. Next, statistical analysis examining the importance and performance of edutech utilization capabilities found the average importance of overall edutech utilization capabilities was about 0.6 points higher than their performance. Compared to the importance of edutech utilization capabilities, current performance in the educational field did not meet this level. Overall, these results suggest that teacher training is necessary to enhance understanding of edutech and strengthen related skills before the implementation of AIDT.

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.