This study explores the integration of ChatGPT, OpenAI’s conversational AI, into English as a Foreign Language (EFL) classrooms at Korean universities, focusing on student interactions and language learning strategy preferences. It categorises interactions using the Strategy Inventory for Language Learning (SILL) and Strategic Self-Regulation (S2R) frameworks to evaluate the pedagogical effectiveness of AIassisted learning. Ninety-nine university students participated in training sessions with ChatGPT prompts tailored to different learning strategies. Data were collected through surveys, chat transcripts, and qualitative feedback. Results indicate frequent student interactions with ChatGPT, averaging 4.49 strategies in initial training chats. Compensatory strategies like error correction and adaptive difficulty received high ratings, while social strategies were rated lowest. Metacognitive strategies, especially planning and summarising, were also well-received. The study concludes that ChatGPT supports diverse learning strategies, enhancing linguistic competence and promoting self-regulated learning. However, limitations such as AI accuracy and authenticity issues highlight the need for continued human interaction in language education.

This is a case study of tandem learning using a metaverse platform in a Vietnamese-Korean language course. It aimed to explore more efficient foreign language teaching methods beyond traditional approaches. To achieve this, the study provides an in-depth look at the course structure that incorporated tandem learning, the interactions between learners on the metaverse platform, and survey results reflecting their learning experiences and perceptions of this particular approach. This study is significant in that it provided a new learning environment using the metaverse, enabling more active participation from learners. It also integrated the tandem learning method, which allows learners to actively participate in the mutual language acquisition process as both target language learners and as instructors or experts of the partner’s target language. Furthermore, the study is meaningful for its specific attempt to design tandem learning classes using the metaverse, particularly for Vietnamese-Korean classes.

오늘날 교육 분야에서 인공지능 기술이 빠르게 발전하면서 AI 한국어 학습 앱은 혁신적인 학습 도구로 많은 주목을 받고 있다. 본 연구는 AI 한국어 학습 앱의 사용자를 연구 대상으로 삼아 기술준비도(TRI), 기술수 용모델(TAM), 정보기술성공 모형을 기반으로 양적 데이터를 분석했다. 본 연구 결과를 바탕으로 향후 한국어 학습 앱의 개발과 한국어 해외 교 육 연구를 위한 이론적 근거와 활용 방안을 제공하고 해외 한국어 교육 의 발전을 촉진하길 바란다. 연구 결과에 따르면 낙관성, 혁신성, 시스템 품질, 학습 내용, 지각된 유용성, 지각된 용이성이 사용자의 사용 태도와 사용의도에 정(+)적인 영향을 미친다. 반면에 불편함과 불확신은 사용자 의 지각된 용이성과 유용성에 부(-)적인 영향을 미친다. 특히, 사용자의 사용의도는 지각된 유용성으로부터 가장 큰 영향을 받았다. 이상의 연구 결론을 바탕으로 AI 한국어 학습 앱의 개선 대책 및 제언을 제시했다.

본 연구는 한국어 학습자들이 자신들의 언어학습 신념이 그들의 전반 적인 언어학습과 새로운 환경에 적응하는 것에 어떠한 관계가 있는지를 찾기 위함이 목적이다. 여섯 명의 한국대학교에 재학 중인 외국인 유학 생들을 대상으로 그들의 언어학습 신념에 대한 인터뷰가 진행되었다. Horwitz의 BALLI 문항을 기반으로 한 반구조적 인터뷰가 진행되었으며, 그들의 답변은 외국어 능력, 언어학습의 어려움, 언어학습의 본성, 학습 과 소통전략, 동기와 기대 등의 주제를 기반으로 비슷한 패턴을 보이는 항목별로 구분되어졌다. 연구 결과는 외국인 유학생들은 그들의 한국어 실력이 향상될수록 자신감을 가졌으며, 그들은 문화에 대한 학습이 언어 학습에 중요한 부분이라는 것을 인지했다. 또한, 가장 효과적인 학습법은 실제적인 상황과 사람들과 어울리는 것을 꼽았으며, 그들은 대학 졸업 이후에도 한국에 남아 있기를 희망했다.

This study investigated the effects of multisensory memory strategies of pairing visual and aural learning strategies of aural lexical advance organizers (LAO) and read-alouds on 146 Korean high school students learning the meaning and pronunciation of 18 unfamiliar English words. In this quasi-experimental design, the control group learned the words on a single mode of written LAO and silent reading as opposed to two treatment groups of aural LAO and silent reading, and of aural LAO and read-alouds, respectively. The effects were tested three times via pre-, post-(immediately after learning), and delayed (30 days later) tests. The immediate and long-term effects were examined by detecting the differences across the three groups in post- and delayed-tests by one-way ANOVA, and the retention of effects was examined by paired t-tests in each group across the three tests. The results indicated that pairing aural LAO and read-aloud strategies was most effective in learning and retention of both vocabulary meaning and pronunciation.

The purpose of this study was to determine the effect of simulation-based Korea advanced life support training on new nurses' knowledge, clinical performance ability, performer confidence, and learning satisfaction. Methods: This is a non-equivalent controlled pre-post quasi-experimental study. A simulation-based CPR training program was applied to 37 new nurses. Results: The experimental group scored lower on emergency management knowledge (83.65±7.61) than the control group (84.55±9.22), which was not significant (t=-4.46, p=.657). However, the clinical performance ability score was significantly higher in the experimental group (109.59±9.98) than in the control group (100.24±11.87) (t=3.581, p <.001). Performer confidence was significantly higher in the experimental group (23.43±3.29) than in the control group (19.90±3.85) (t=3.69, p〈.001). In addition, the learning satisfaction score of the experimental group (96.16±5.64) was significantly higher than the control group (88.42±11.13) (t=3.72, p< .001). Conclusion: This study confirmed that simulation training is an efficient way to improve new nurses' clinical performance ability, and performer confidence. Therefore, applying simulation training in scenarios can improve new nurses' work competence and contribute to improving the quality of patient care.

This study aimed to investigate the effect of visual input enhancement (VIE) on the comprehension of reading texts and the learning of two grammatical forms: English relative clauses and articles. Individual learners’ working memory (WM) capacity was also tested to explore its impact on the effectiveness of VIE. A total of 48 Korean college learners of English were assigned into three groups: (a) relative group receiving VIE on relative clauses (b) article group receiving VIE on articles, and (c) a control group receiving no VIE. Results showed that VIE did not have any negative effect on the learners’ reading comprehension. Rather, it had positive effects on the learning of the two grammatical forms. According to the findings, VIE on relative clauses enhanced the learners’ receptive knowledge of the grammatical form, whereas VIE on articles enhanced the learners’ productive knowledge of the form. There was a potential link between the effectiveness of VIE and the learners’ working memory processing ability. Pedagogical implications are also discussed based on these findings.

Recently, many studies are being conducted to extract emotion from text and verify its information power in the field of finance, along with the recent development of big data analysis technology. A number of prior studies use pre-defined sentiment dictionaries or machine learning methods to extract sentiment from the financial documents. However, both methods have the disadvantage of being labor-intensive and subjective because it requires a manual sentiment learning process. In this study, we developed a financial sentiment dictionary that automatically extracts sentiment from the body text of analyst reports by using modified Bayes rule and verified the performance of the model through a binary classification model which predicts actual stock price movements. As a result of the prediction, it was found that the proposed financial dictionary from this research has about 4% better predictive power for actual stock price movements than the representative Loughran and McDonald’s (2011) financial dictionary. The sentiment extraction method proposed in this study enables efficient and objective judgment because it automatically learns the sentiment of words using both the change in target price and the cumulative abnormal returns. In addition, the dictionary can be easily updated by re-calculating conditional probabilities. The results of this study are expected to be readily expandable and applicable not only to analyst reports, but also to financial field texts such as performance reports, IR reports, press articles, and social media.

The study aims to understand personal changes experienced through Korean language learning and the significance of these changes to members of the new Korean Language and Culture Community by examining the life histories of foreign graduate students majoring in Korean language education and Korean literature. To this end, six Vietnamese students who are studying at a graduate school specializing in Korean language participated in this study and their life histories were examined, focusing on the development of their identities. The analysis focused on the (re)construction of identity in the learning processes of participants and showed that participants achieved complex identity development by learning and using Korean in various formal and informal contexts. In this study, changes were described in terms of improving Korean language skills, changing the self-image during early adulthood, and personal growth.

The forms and demands of language learning are changing in the pandemic era. Learners no longer rely solely on a formal language curriculum. Instead, they are using various informal language learning (ILL) channels. Although informal language learning has been in the spotlight and is growing, more research on ILL is needed. In this study, ILL taking place through an online community was analyzed. Articles from the Korean learning community (r/Korean in Reddit) were collected, and the topic modeling technique, Latent Dirichlet Allocation, was conducted on the collected data. As a result, seven major topics were selected. The most common topics in all posts were issues faced by beginner learners, followed by vocabulary and sentence meanings, interest in Chinese characters and applications of Korean language skills, culture and daily life, translation, online learning materials, and Korean phonics. Through this, the interests of ILL learners and the characteristics of learners could be identified. Due to the nature of ILL, in which a formal curriculum does not exist, it was found that questions about general strategies for learning and questions that could not be solved in formal language education were most prominent. In addition, the characteristics of ILL learners who actively sought learning content and materials were also found.

Este estudio aborda el aprendizaje de la pronunciación en español como una tercera lengua por parte de los hablantes nativos de coreano en los EEUU. Específicamente, profundiza en las características de sus pronunciaciones, las perspectivas desde las que se pueden entender las pronunciaciones y los puntos que los investigadores de L3 deben tener en cuenta para examinar sus pronunciaciones. Para ello, primero este estudio presenta modelos sobre la percepción y producción de L2, así como modelos sobre la morfosintaxis de L3. Luego, aplica los principios principales de los modelos a las situaciones y características del aprendizaje que muestran los estudiantes coreanos de español en los EEUU. Por último, con base en los fundamentos teóricos y sus características del aprendizaje, hace sugerencias para estudios empíricos que examinen la pronunciación de español como L3. Este estudio puede ser útil para los estudiantes coreanos de español como L3 y sus padres, profesores de español e investigadores de L3. Además, algunas sugerencias de este estudio se pueden aplicar a los estudiantes coreanos de español como L3 que viven en Corea y países angloparlantes que no sean los EEUU.

This paper investigates Korean EFL students’ learning (de)motivation factors according to the level of students’ English learning motivation. A total of 41 undergraduate students reflected on their past ten years of English learning experiences and submitted autobiographic essays with ‘motigraph,’ marking their annual changes of English learning motivation from 0 to 10. The data were analyzed with Grounded Theory. The findings revealed that the factors that increased or decreased English learning motivation were different according to students’ level of motivation. Students with low-level motivation were influenced by their teacher or parents, while those with high-level motivation were influenced by their past L2 learning experiences perceived positively by themselves. In both groups, the factors of emotional experiences caused by negative L2 learning experiences were the main reasons for demotivation. This paper emphasizes the importance of subjective appraisal in maintaining students’ L2 learning motivation and recovering from the state of demotivation.

This study showcases an International Learning Exchange (ILE) program between North Korean (NK) refugee students in South Korea and American university students from the US. ILE programs connect two or more linguistic/ cultural groups for intercultural awareness, which provide authentic communicative environments. However, the prevalent use of English and research focus mostly on non-native English-speaking students reflect the ideology of native-speakerism embedded in ILE programs. The purpose of this study was to develop an ILE program that resists native-speakerism and to investigate its influences on native as well as non-native English-speaking students. Adopting a case-study approach, data were collected from video-taping, fieldnotes, student documents, surveys, and interviews. Findings show how the authors designed and implemented a principle-based ILE program. The responses of NK students show their growing motivation and communication ability. The responses of American students show their critical reflections on their native-speaker identities. This study offers insights into designing ILE programs based on multilingualism and translanguaging.

Various models have been proposed to describe the swelling behavior of buffer in high level waster repository. One of the most notable models, the Barcelona Basic Model (BBM), is a mechanical model that simulates the behavior of unsaturated ground and is widely applied to soils that undergo large expansion due to water. Among the BBM parameters of Kyeongju bentonite, which is found in Korea, there are no experimental data for parameters that describe the unsaturated state. Such hydromechanical properties should be characterized through experimental programs. However, such experiments are highly complicated and require long periods of time to produce an unsaturated state through different methods according to the suction range. Although there are several studies in which geotechnical parameters were obtained through a back analysis instead of direct experiments, few studies have employed machine learning methods for the identification of geotechnical parameters. In this study, instead of direct experiments, the results of a relatively simple swelling pressure experiment was compared to the numerical analysis results to propose a method of determining some of BBM parameters. Influential factors were identified by a sensitivity analysis and the values of the factors were estimated using an artificial neural network and optimization method. The obtained parameters were applied to the numerical model to estimate the swelling pressure growth, which was subsequently compared to the experimental value. As a result, it was found that there was no significant difference between the two swelling values.

Periodontal disease is a chronic but treatable condition which often does not cause pain during the initial stages of the illness. Lack of awareness of symptoms can delay initiation of treatment and worsen health. The aim of this study was to develop and compare different risk prediction models for periodontal disease using machine learning algorithms. We obtained information on risk factors for periodontal disease from the Korea National Health and Nutrition Examination Survey (KNHANES) dataset. Principal component analysis and an auto-encoder were used to extract data on risk factors for periodontal disease. A synthetic minority oversampling technique algorithm was used to solve the problem of data imbalance. We used a combination of logistic regression analysis, support vector machine (SVM) learning, random forest, and AdaBoost to classify and compare risk prediction models for periodontal disease. In cases where we used principal component analysis (PCA) to extract risk factors, the recall was higher than the feature selection method in the logistic regression and support-vector machine learning models. AdaBoost’s recall was 0.98, showing the highest performance of both feature selection and PCA. The F1 score showed relatively high performance in Ada- Boost, logistic regression, and SVM learning models. By using the risk factors extracted from the research results and the predictive model based on machine learning, it will be able to help in the prevention and diagnosis of periodontal disease, and it will be used to study the relationship with various diseases related to periodontal disease.

The purpose of this research was to examine how Korean college students’ motivation toward English learning has been changed over time as they took technology-utilizing classes. In order to accomplish this, two research questions were proposed; First, how has the students’ motivation changed over the whole school year? Second, how has the students’ motivation changed in terms of their English proficiency levels? Sixty college students were required to take a simulated TOEIC test for their English proficiency levels, and to respond to the ARCS questionnaire developed by Keller (2008a, 2008b) to measure their motivation levels. An independent samples t-test was employed to compare the statistical means from the samples, specifically to find out the relation of students’ motivation and t he e ffect o f t echnology-utilizing c lasses. The r esults o f d ata analysis found out that the longer the treatment period of technology-utilizing instruction, the greater the effect on the learner’s motivation; second, the technology-utilizing instruction has a significant effect on the students’ motivation regardless of their proficiency levels, but it turns out to be more effective in improving the upper group students’ motivation toward learning. Based on these findings, practical implications for the implementing technology-utilizing instruction in the EFL classroom were suggested.

This study investigates the claim that task-induced involvement load has an effect on vocabulary learning and examines the effect of task types and word concreteness on intentional vocabulary learning in the Korean EFL context. This study aims at testing whether productive word-focused tasks lead to equally effective vocabulary learning when the total involvement load index is equal but the distribution of index levels of each component (need, search, and evaluation) is different. The three productive word-focused task types are gap-fillig, sentence writing, and gap-filling through word transformation. In addition, in order to investigate the effect of word concreteness on vocabulary learning, two groups of target words were selected based on the level of word concreteness. In sum, the results of this study generally supported involvement load hypothesis (Laufer & Hulstijin, 2001) and test types and proficiency levels proved to be important variables that affect vocabulary learning. Moreover, the findings also indicated that word concreteness was not a major factor in vocabulary learning. The pedagogical implications and further suggestions are discussed.

본고는 코로나19 팬데믹 상황으로 인해 그동안 진행되어왔던 중등학교의 원격 수업이 한문 교과 의 수업에 던진 과제와 포스트 코로나 시대를 대비하기 위해 한문 교과 수업이 지향해야 할 방향성을 제안했다. 원격수업은 의사소통의 동시성 여부에 따라 ‘실시간 원격수업’, ‘비실시간 원격수업’으로 구분된다. 교육부에서 제시하고 있는 원격수업의 유형은 ‘실시간 쌍방향 수업’, ‘콘텐츠 활용 중심 수업’, ‘과제 수행 중심 수업’, ‘기타’로 구분된다. 전국한문교사 오픈 카톡방인 ‘줄탁동시’에서 설문 조사(2021년 8월 7일, 216명)를 실시하였는데, 코로나19 팬데믹 기간동안 대부분 원격 수업을 실시했고, 62%가 3학기 동안 원격 수업을 이어왔다. 주로 활용하는 원격 수업의 형태는 ‘실시간 쌍방향+콘텐츠 활용+과제 수행’의 혼합형이 33%, ‘실시간 쌍방향 중심 수업’이 28.4%를 차지해서 소통과 피드백이 용이하고, 교과 성격에 맞는 수업을 진행했음을 확인할 수 있다. 한문 교사들이 느끼는 원격 수업의 어려움으로는 ‘학생의 학습 동기 부여 및 참여 유도’ 36.3%, ‘수업자료 제작 등 수업 준비 부담’ 28.8%, ‘학생과의 소통 및 피드백의 제공’ 14.0%, ‘콘텐츠 저작권 침해 우려’ 4.2% 순으로 응답하였다. 대체로 일반 교사들이 느끼는 어려움과 순위는 같았으나, 1번째와 2번째 순위의 어려움 정도가 다른 교과에 비하여 높았다. 다음으로 원격 수업 질을 높이기 위해 지원이 필요한 사항으로는 ‘교사가 재구성할 수 있는 자료 제작 공유 및 플랫폼 제공’ 32.5%, ‘콘텐츠 제작 및 자료 활용을 위한 저작권 제도 개선’ 19.9%로 나타났다. 다만, 한문 교사들은 ‘콘텐츠 제작 및 자료 활용을 위한 저작권 제도 개선’에 대한 요구도 19.9%로 높게 나타났다. 이는 한문과에서 원격 수업에 즉시 활용할 수 있는 플랫폼, 콘텐츠와 이를 자유롭게 사용할 제도적 지원에 부족함을 느끼고 있음을 보여준다. 한문 교과의 성공적 원격 수업 진행을 위한 주안점으로는 ‘실생활과 연계된 교과내용 재구성을 통한 한문 교과의 필요성과 위상 제고’, ‘온라인 도구를 이용해 학생들의 흥미유발과 참여도를 높이는 수업 유형 개발’, ‘올바른 가치관 형성 수업 및 인성 함양 수업’에 관심이 높았다. 한문 교사들의 설문을 바탕으로 한문 교과의 성공적 원격 수업 진행을 위한 제안으로는 우선 한문 교사의 협업 활성화 및 참여의 확대가 필요하고, 다음으로 한문 교사를 위한 다양한 연수 기회의 제공이 필요하며, 교육 당국이 다양한 한문 콘텐츠의 개발할 수 있는 여건을 조성하고, 한문 교사들이 서로의 노하우와 기술을 공유하고 의견을 나눌 수 있는 공간도 필요하다.

Due to the COVID-19 pandemic situation, online education has emerged as an important research field to match its growing necessity. In this vein, this research explores one of the challenges facing online teaching of the Arabic language to Korean students at the university level based on the practical experience of online teaching in the academic year of 2020 while focusing on the role of students. The main goal of this research is to give some answers to its main question, which is: How is it possible to activate the role of students in the online classes of the Arabic language? The study suggests some online activities through which the role of students in online classes can be activated. An online survey questionnaire was provided to test the influence of some of those activities and to explore the students’ feedback. Additionally, interviews were conducted with some students to gain further understanding of their opinions about those activities. The results of the study showed positive feedback from the students towards those activities and provided some advantages of using those online activities for adding enjoyment to the students’ assignments. It is also recommended that teachers include more innovative online activities which match their students’ needs.

This study utilized a longitudinal data collection to examine online factors of digital multimodal composing (DMC) preference and measure learner course satisfaction with digital composing modes in an online EFL communication course. The purpose of this research was to involve learners in a process of online, interactive, and multimodal curricular design during emergency remote learning due to the coronavirus pandemic. Innovative online technologies such as a new learning management system and digital educational components were implemented and used to quantitatively examine learners’ acceptance of technology. Korean learner preferences for textual and audio modes of DMC were indicated by Relative Advantage, Perceived Usefulness, and User Satisfaction factors. These factors also indicated an aversion to video-based DMC including video recordings and video responses as well as moderate concern for video conferencing. Qualitative findings revealed student concern for the constructs of Ease of Use and Using Video Modalities when transitioning to new online learning technologies.