브이로그를 활용한 영어 말하기 수업이 한국 대학 EFL 학습자의 자기주도학습 능력, 학습 흥미, 말하기 실력에 미치는 효과

진승희 ( Jin¸ Seunghee ) 한국멀티미디어언어교육학회 2021 멀티미디어 언어교육 Vol.24 No.3

This study investigated the effects of using Vlogs for English language learning on Korean EFL learners’ self-directed learning ability, learning interest, and speaking skills. In recent years, ‘Vlogging’ has become one of the most entertaining and popular ways to connect with people on social networking services (SNSs). Over one semester, an experimental group of 24 students participated in Vlogging activities (a total of 10 Vlogs was created and shared with their classmates), while a control group of 22 students received a traditional teaching method. To examine this study, 1) a pre-and post-questionnaire on participants’ self-directed learning ability, 2) a pre-and post-questionnaire on learning interests, and 3) a pre-and post-test on speaking abilities were conducted. The results indicated that the Vlogging-based instruction was more effective than the traditional classroom in terms of increasing students’ self-directed learning abilities and learning interests. In addition, the Vlogging learning group has shown a statistically significant improvement in the English speaking abilities concerned with vocabulary, task, fluency, and comprehension. The study also revealed that Vlogging activities were more beneficial in developing students’ speaking skills than traditional classroom activities. This study suggested that Vlogging activities are useful to develop learners’ self-directed learning ability, learning interests, and speaking skills.

영화를 활용한 섀도잉 학습법이 대학생 EFL 학습자의 영어 말하기 능력과 정의적 태도에 미치는 영향

진승희(Jin, Seunghee) 영상영어교육학회 2022 영상영어교육 (STEM journal) Vol.23 No.1

The present study investigated the effects of a shadowing activity using movies on Korean EFL college students’ speaking skills and their affective attitudes. Over a semester, a total of 138 students participated in the study and they were assigned to an experimental group (n = 71) and a control group (n = 67). According to language proficiency, the participants in the experimental group were assigned to advanced, intermediate, and beginner-level groups. Over a semester, all the experimental groups engaged in a shadowing activity once a week while the control group participated in a traditional speaking activity. To collect data, both 1) pre- and post-speaking tests and 2) pre- and post-questionnaires on affective attitudes were conducted. The results showed that the shadowing activity is more effective than the traditional speaking activity in terms of increasing speaking proficiency. In addition, there was a statistically significant improvement in speaking proficiency of both the intermediate and beginner-level groups while there was no statistically significant difference in the advanced level group’s speaking proficiency. Furthermore, the shadowing activity significantly improved the confidence, interest, and motivation level of the experimental group. Based on the findings, it is suggested that this shadowing activity using movies can be an effective tool to develop EFL learners’ speaking skills and improve their affective attitudes.

메타버스 게더타운 활용 영어 말하기 수업에 대한 학습자 인식 조사 연구

진승희(Seunghee Jin) 한국영어어문교육학회 2023 영어어문교육 Vol.29 No.1

With recent developments in Metaverse technology, the topic of integrating Metaverse platforms into language classrooms has received increasing attention due to its enormous potential for language learning. This study aims to adopt one of the most popular Metaverse platforms, Gather.town, for EFL speaking, and to investigate learners' perceptions of their learning experiences. Specifically, the study investigated how college EFL learners perceived the use of this Metaverse platform for their English speaking. A total of 23 college EFL students participated in this study, engaging in various speaking activities offered in the Metaverse platform throughout the semester. To collect data, the survey and qualitative semi-structured interviews were conducted. The study results indicated that the participants perceived the interaction opportunities in the Metaverse platform positively overall. They thought this platform was useful for their learning, and they perceived that their engagement in speaking activities had enhanced and their confidence in speaking had improved. The affordance of using the Metaverse platform was its potential to create a more anxiety-free and comfortable learning environment for learners. Results suggest that Gather.town has potential to develop learners' speaking proficiency in the EFL classroom due to its learner-centered design advantages and ease of free communication among learners.

브이로그(Vlogs)를 활용한 영어 수업이 EFL 학습자들의 의사소통자신감 및 의사소통의지에 미치는 영향

진승희(Jin, Seunghee) 한국영어어문교육학회 2021 영어어문교육 Vol.27 No.2

This study investigated the effects of using Vlogging as a speaking activity on EFL university students’ development of 1) communicative self-confidence with covering anxiety and self-perceived communicative competence, and 2) willingness to communicate(WTC). A Vlog or a video log is a form of a blog where all of the content is in a video format. Vlogging refers to the process of creating a Vlog by recording a person’s life, thoughts, experiences, or interests. Throughout a semester, an experimental group of 25 students engaged in a Vlogging activity, while a control group of 26 students followed the regular curriculum for the university course of English communication. To collect data, a series of questionnaires was carried out for both groups. Results showed that both groups had high anxiety, low self-perceived communicative competence, low self-confidence, and low WTC before participating in this study. However, the result showed a significant improvement, with the Vlogging learning group feeling less anxious, more competent in their English abilities, more confident, and more willing to communicate in English, while little enhancement was found in the control group. This study suggested that Vlogging can have positive effects on the improvement of EFL learners’ self-confidence, anxiety, self-perceived competence, and WTC

AI 말하기 어플리케이션(앱) 활용 수업이 한국 대학생 학습자의 영어 말하기 능력과 정의적 태도에 미치는 효과

진승희 ( Jin Seunghee ) 한국멀티미디어언어교육학회 2022 멀티미디어 언어교육 Vol.25 No.2

This study aims to examine the effects of using an artificial intelligence (AI)-based speaking application (app) for English speaking courses on Korean EFL learners’ speaking skills and their affective attitudes such as motivation, interest, and confidence. Over a semester (16 weeks), a total of 50 students participated in the study. They are assigned to an experimental group who participated in AI app-assisted speaking activities and to a control group who engaged in the speaking activities without the aid of a smartphone app. To collect the data, 1) a pre- and post-test on speaking skills and 2) a pre- and post-survey on affective attitudes were conducted for both groups. The results indicated that an AI app-assisted learning group has shown significant development in speaking skills when compared to the control group. In particular, AI app-assisted learning group’s speaking abilities concerned with vocabulary, grammar, and pronunciation were significantly enhanced. This study also revealed that the AI app-based speaking instruction was effective in improving the students’ affective attitudes such as motivation, interest, and confidence. The results supported that AI app-assisted speaking instruction is an effective way to develop students’ speaking skills and affective attitudes and is more effective than the traditional speaking instruction.

영화 포스터의 타이틀에 사용된 색채 빈도에 관한 연구

진승희(Seunghee Jin),한혜진(Hyejin Han) 한국색채학회 2020 한국색채학회 학술대회 Vol.2020 No.5

영화 타이틀은 영화와 대중을 연결하는 중요한 홍보 매체이다. 또한, 관객인 소비자가 영화라는 상품을 처음 접할 때 만나는 커뮤니케이션의 수단이다. 따라서, 영화 타이틀의 타이포그래피는 영화 내용을 함축적으로 상징화하고 기호학적인 요소를 포함하여 제작되어야 한다. 본 연구에서는 영화 포스터의 타이틀에 쓰인 타이포그래피의 종류와 색채의 특성을 분석하고자 한다. 연구 대상은 역대흥행 영화 30편이었다. 그 결과, 꺾임이 있는 세리프체가 가장 많이 사용되었고, 한국영화는 캘리그래피가 자주 사용된 것을 확인할 수 있었다. 색채 분석의 결과, 하얀색이 가장 많이 사용되었고, 다음으로는 노란색이 자주 사용되었다. 근접한 배경과의 관계를 분석한 결과, 명암대비가 가장 많이 사용되어 명시성과 가독성이 높게 나타나는 시인성을 고려하여 배색된 것을 유추해볼 수 있었다.

Shadowing Practice Using TED Talks on the Metaverse Platform, Gather: Affective Factors and Oral Proficiency Development

진승희(Seunghee Jin) 영상영어교육학회 2023 영상영어교육 (STEM journal) Vol.24 No.2

This study aimed to investigate the effectiveness of employing the metaverse platform Gather for shadowing practice using TED Talks, focusing on the development of oral proficiency and affective attitudes among Korean EFL learners. A total of 49 college students participated, divided into two experimental groups. Group 1 (n = 24) engaged in shadowing practice on Gather, while group 2 (n = 25) partook in the same shadowing activities in a traditional classroom. Data collection involved pre- and post-speaking tasks and pre- and post-questionnaires assessing affective attitudes. The results revealed significant improvements in speaking skills for both groups, with group 1 demonstrating a higher degree of effectiveness. Furthermore, participants in both groups exhibited increased interest, motivation, and confidence levels. However, a notable difference emerged in anxiety levels, as the students in group one displayed a significant decrease in speaking anxiety, while those in group two showed no improvement in speaking anxiety after participating in the study. The findings indicate that integrating Gather for shadowing practice can effectively enhance Korean EFL learners’ oral proficiency and positively influence their affective attitudes toward language learning. The study contributes to the growing body of research on the potential of metaverse platforms as alternative learning environments for language instruction.

디지털 가상현실 게임 기반 언어 학습이 영어 학습자의 어휘 및 문화 지식 발달과 정의적 태도에 미치는 영향

진승희(Jin, Seunghee) 영상영어교육학회 2021 영상영어교육 (STEM journal) Vol.22 No.3

The current study investigated the effects of using a 3D virtual reality (VR) game on university EFL students’ development of vocabulary and cultural knowledge. In addition, it explored how this new approach affected the students’ affective attitudes such as interest, confidence, and learning motivation. Furthermore, it examined the students’ perception and attitude toward VR game-based language learning. Over one semester, an experimental group of 25 students participated in the VR game-based language learning, while a control group of 24 students followed the regular curriculum of the university EFL course. To collect data, 1) pre- and post-tests for both vocabulary and cultural knowledge, 2) a pre- and post-questionnaire for affective attitudes, 3) an online survey for students’ perceptions and attitudes, and 4) a qualitative interview were administered. The results revealed that the VR game-based language learning group outperformed the traditional learning group in both vocabulary and cultural knowledge gains. In addition, VR game instruction was effective in increasing students’ interest, confidence, and learning motivation. Furthermore, the students reported overall positive perceptions and attitudes toward this new kind of instruction. This study suggested that VR game-based language learning is a new, effective way to promote students’ vocabulary and cultural knowledge.

플립러닝을 활용한 영어 말하기 수업이 학습자들의 영어 말하기 불안과 말하기 실력 향상에 미치는 영향

진승희 ( Jin Seunghee ) 글로벌영어교육학회 2021 Studies in English education Vol.26 No.4

This study aims to investigate the effects of implementing flipped learning into an EFL speaking class on Korean EFL undergraduate learners’ speaking anxiety and speaking skills. 48 Korean EFL learners participated in this study and they were assigned to an experimental group and a control group. Over a semester, the experimental group of 25 students engaged in flipped learning, while the control group of 23 students participated in traditional EFL instruction. To collect data of this study, 1) a pre- and post-test on speaking abilities and 2) a pre- and post-questionnaire on the participants’ speaking anxiety were administered for each group. The results showed that the flipped classroom was more effective than the traditional classroom in terms of increasing the participants’ speaking proficiency. In addition, flipped learning in the EFL speaking class effectively decreased the participants’ speaking anxiety. This study suggests that incorporating flipped learning into the EFL classroom is beneficial for anxious learners who suffer from speaking anxiety in terms of effectively lowering their speaking anxiety and developing their speaking skills.

온톨로지 지식 기반 특성치를 활용한 Bidirectional LSTM-CRF 모델의 시퀀스 태깅 성능 향상에 관한 연구

진승희(Seunghee Jin),장희원(Heewon Jang),김우주(Wooju Kim) 한국지능정보시스템학회 2018 지능정보연구 Vol.24 No.1

This paper proposes a methodology applying sequence tagging methodology to improve the performance of NER(Named Entity Recognition) used in QA system. In order to retrieve the correct answers stored in the database, it is necessary to switch the user’s query into a language of the database such as SQL(Structured Query Language). Then, the computer can recognize the language of the user. This is the process of identifying the class or data name contained in the database. The method of retrieving the words contained in the query in the existing database and recognizing the object based on the index does not identify the homophone and the word phrases because it does not consider the context of the user’s query. If there are multiple search results, all of them are returned as a result, so there can be many interpretations on the query and the time complexity for the calculation becomes large. In addition, in the existing QA system, chunking has a higher probability of selecting the longest phrase among the sentence component phrases retrieved after obtaining a subset of all cases that can come from the user query. This chunking process has a problem that the algorithm is complicated, but it is not always correct according to the query. To overcome these, this study aims to solve this problem by reflecting the contextual meaning of the query using neural network-based methodology and to identify the problem of the neural network based methodology. Context-sensitive tagging combined with CRF and Bidirectional LSTM can be used to supplement the LSTM-based model, which can limit long-term memory problems, but can be biased toward recent input because of the data nature of word embedding. Therefore, we have solved the disadvantages of the neural network model by introducing the latest technology Bidirectional LSTM-CRF model in Sequence Tagging field. We used reasoning that reflects context by using ontology-based characteristic values for untrained words. In case that untrained words come in, we store the object name recognition tag information obtained from the ontology knowledge base in the Lucene index DB as the ontology knowledge based feature. and In this paper, we propose a neural network model based on ontology knowledge based feature. Experiments were conducted on the ontology knowledge base of music domain and the performance was evaluated. In order to accurately evaluate the performance of the L-Bidirectional LSTM-CRF proposed in this study, we experimented with converting the words included in the learned query into untrained words in order to test whether the words were included in the database but correctly identified the untrained words. Through experimentation, it was confirmed that tag recognition based on the context of the homophone and chunking is possible. In addition, we could apply the features that match the data type by using the CRF property which can use user defined function as a variable. As a result, it was possible to recognize objects considering the context and can recognize the untrained words without re-training the L-Bidirectional LSTM-CRF model, and it is confirmed that the performance of the object recognition as a whole is improved. Therefore, the proposed L-Bidirectional LSTM-CRF methodology can be applied to the ontology knowledge base of various fields to solve the object name recognition problem. However, the proposed L-Bidirectional LSTM-CRF method performed better than the conventional LSTM-CRF method, but lacked the ability to process homophones compared to the conventional Bidirectional LSTM-CRF. This is due to the fact that the hypothesis of this study inserts a feature that can infer a pattern of unknown words based on the entity name pattern of trained queries. This is because the weight increases linearly with the inclusion in the training data. In future research, it is necessary to experiment with various methods of applying weights so that homophones can be found well while ma