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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.

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.

The purpose of this study is to analyze 118 studies in the field of Korean presentation education conducted between 2005 and January 2023 and to provide insight into the future direction of research in this area. The study utilized Topic modeling and direct researcher analysis methods to examine Korean presentation education research materials. The analysis revealed a steady increase in research on Korean presentation education, with high frequency keywords such as ‘academic’, ‘purpose’, ‘discourse’, and ‘class’ indicating that research has been conducted on these topics. Furthermore, the Topic modeling analysis revealed that many studies have focused on ‘study on the analysis of aspects and the use of strategies in presentation discourse’ and ‘study on the use of presentation classes by learners’, particularly for Chinese native learners. In terms of research methods, the analysis conducted through direct researcher analysis showed that the most common methods used were ‘dialogue analysis’ and ‘survey research’, and single research methods were utilized more frequently than mixed methods. Based on these findings, this study suggests that future research should focus on Korean presentation education for language learners with various purposes and employ a variety of research methods.

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 aims to analyze research trends in Korean listening education for academic purposes, and suggest for future research directions. For this purpose, this study consulted a total of 57 pre-existing studies, including 32 articles in academic journals, 21 masters’ theses, and four doctoral dissertations conducted from 2005 through December 2021. The results are as follows: First, to examine the trends by year and type, comparing the 2010s to the 2000s when the research began. It was found that the number of studies greatly increased in the 2010s, and the frequency of studies in the 2020s tend to increase further. Second, as a result of an analysis of the trends by topic, it was found that teaching and learning methods were most studied and that there were also many studies concerned with strategy. However, there were relatively fewer studies on evaluation and curriculum. Third, this study aimed to examine trends by research method. It was found that the studies mostly employed the survey method, followed by quantitative mixed method and experimental approaches. Consequently, it was noted that the quantitative research methods were most widely used in the field of listening to Korean for academic purposes, and at the same time, since all studies that used mixed research methods employed another research method along with the survey method, it was found that the use of the survey method was the dominant type of quantitative research method.

This study aims to analyze the correlation between the digital literacy competency and the TPACK (Technological Pedagogical And Content Knowledge) of Korean language teachers. By measuring both the digital literacy competency and the TPACK of Korean language teachers, the study analyzes the correlation between these two variables. To this end, the digital literacy competency of Korean language teachers was divided into ‘technical, cognitive, and socialjustice aspects’ for investigation. The results showed that cognitive digital literacy was the highest competency, while technical digital literacy was the lowest. TPACK was further divided into TK (Technological Knowledge), TCK (Technoligical Contenet Knowledge), TPK (Technoligical Pedagogical Knowledge) and TPCK for measurement, revealing that teachers scored the lowest on TK and the highest on TPK. The analysis revealed a strong correlation between technical digital literacy and TPACK, suggesting that enhancing technical competencies should be prioritized. Furthermore, based on the finding that teaching experience in Korean language education does not influence digital literacy and TPACK, it is believed that practice-oriented teacher training focused on integrating digital tools and technologies could enhance teachers’ digital literacy competencies.

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.

The purpose of this study is to develop a chatbot for Korean language education using Google Dialogflow, aiming to determine its effectiveness as a learning tool and to investigate learners’ perceptions of prototype chatbots. Six Korean language education chatbots were developed for beginner Korean language learners, and 30 beginner learners—15 from Mongolia studying in Korea and 15 from Japan studying abroad—were recruited. These learners practiced Korean conversation with the chatbots for about three weeks, and pre- and post-surveys were conducted. Analysis showed that using the chatbots for conversation practice positively impacted learners’ confidence. However, the chatbots’ overall effectiveness fell short of expectations, as significant results were observed only in confidence among the three investigated areas: interest, confidence, and motivation. Learners were generally satisfied with the chatbots, although Japanese learners rated its effectiveness in improving expressions and comprehension skills low, suggesting a need for further analysis. Both groups found voice chatbots more beneficial, underscoring a significant need for individual speaking practice, especially among Japanese learners. Despite limitations such as the inability to engage in flexible conversations, the study demonstrates the potential of chatbots developed as a learning tool and identifies learners’ perceptions from various perspectives.

The verb system in Spanish not only expresses tense but also aspect and mood through various conjugations, therefore it is a very difficult system for Korean students to acquire. In this article, from the point of view of grammatical pedagogy, we have proposed some instructional measures based on cognitive grammar that can be applied in the classroom. First, it is useful to present the cognitive schema of various tenses in a diagram. Second, the perfectivity is an important property in the Spanish past tense, while probability is important in the future tense. Third, the degrees of probability can be classified as conjecture or hypothesis and are represented by the indicative future tenses such as the simple future, the future perfect, the simple conditional and the conditional perfect in the main clauses as well as the subjunctive tenses in the subordinate clauses. Finally, it is necessary to take into account that the subjunctive mood reflects the non-assertive attitude of the speaker at a pragmatic level, a construction which is not syntactically realized in Korean.

El sistema verbal en español no solo expresa el tiempo sino también el aspecto y el modo a través de diversas conjugaciones, por consiguiente, es un sistema muy difícil de adquirir para los alumnos coreanos. En este artículo, desde el punto de vista de gramática pedagógica hemos propuesto unas medidas de instrucción basadas en la gramática cognitiva que puedan aplicarse en el aula. En primer lugar, es útil presentar el esquema cognitivo de varios tiempos verbales en una imagen. En segundo lugar, la perfectividad es una propiedad importante en el tiempo pasado español, mientras que la probabilidad es importante en el tiempo futuro. En tercer lugar, los grados de probabilidad pueden clasificarse como conjeturas o hipótesis y se representan por los tiempos futuros de indicativo como el futuro simple, el futuro perfecto, el condicional simple y el condicional perfecto en las oraciones principales, así como los tiempos de subjuntivo en las oraciones subordinadas. Finalmente, es necesario tener en cuenta que el modo subjuntivo refleja la actitud no asertiva del hablante a nivel pragmático, una construcción que no se realiza en coreano sintácticamente.