• Title/Summary/Keyword: Convergence of science and English

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The Effect of Integrated Instruction for Improving English Ability (Listening & Reading Skills) of Elementary School Students: Using Science Animation (초등학생의 융합수업이 영어 능력(듣기, 읽기) 향상에 미치는 영향: 과학 애니메이션의 활용)

  • Park, Mee-Hwa;Sohng, Hae Sung
    • Journal of the Korea Convergence Society
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    • v.10 no.5
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    • pp.133-140
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    • 2019
  • The purpose of this study is to examine the effects of English integrated instruction on the 6th grade Korean elementary students' English ability using science animation. Twenty-seven students took English integrated instruction before their regular class for 10 minutes while the other students took review activity instead of it. At first, the students were asked to take the sixth grade diagnostic evaluation sponsored by C office of education in 2018 as the pre-test and ten months later, they were asked to take the first grade diagnostic evaluation of middle school sponsored by C office of education in 2017 as the post-test. Results of the study showed that the English ability and the affective attitude of the students taking English integrated instruction were improved. These results suggest that English integrated instruction can contribute to the improvement of Korean elementary students' English ability.

Investigating the perception of instructors on the use of virtual reality education (가상현실 교육적 활용에 대한 교수자의 인식조사)

  • Kim, Ji-Hyo;Park, Seong-Man;Lee, Young-Lim;Joo, Mee-Ran;Park, Eun-Seo;Park, Jong-Tae
    • Journal of Digital Convergence
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    • v.19 no.7
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    • pp.11-19
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    • 2021
  • The purpose of the study is to explore a plan for effective education using virtual reality in English education. In order to achieve the purpose of the study, the perception of English education using virtual reality was comprehensively investigated and analyzed for teachers(n=20) in the field of English education. The results of the study reveal the followings: 1) Teachers are positively aware of the necessity of English education using virtual reality, but most teachers complained of a psychological burden on education using virtual reality; 2) negative responses were somewhat higher than positive responses to the expectation that virtual reality-based English content would be practical in the educational field; 3) In order to increase the effectiveness of English education using virtual reality, it is necessary to share experiences for educational experience of virtual reality and need to provide various virtual reality contents; and 4) For virtual reality educational application, there is a high demand for teaching and learning method education and training using virtual reality and provision of guidelines for education using virtual reality.

Virtual Reality based Situation Immersive English Dialogue Learning System (가상현실 기반 상황몰입형 영어 대화 학습 시스템)

  • Kim, Jin-Won;Park, Seung-Jin;Min, Ga-Young;Lee, Keon-Myung
    • Journal of Convergence for Information Technology
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    • v.7 no.6
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    • pp.245-251
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    • 2017
  • This presents an English conversation training system with which learners train their conversation skills in English, which makes them converse with native speaker characters in a virtual reality environment with voice. The proposed system allows the learners to talk with multiple native speaker characters in varous scenarios in the virtual reality environment. It recongizes voices spoken by the learners and generates voices by a speech synthesis method. The interaction with characters in the virtual reality environment in voice makes the learners immerged in the conversation situations. The scoring system which evaluates the learner's pronunciation provides the positive feedback for the learners to get engaged in the learning context.

A Study on the Recognition of English Pronunciation based on Artificial Intelligence (인공지능 기반 영어 발음 인식에 관한 연구)

  • Lee, Cheol-Seung;Baek, Hye-Jin
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.3
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    • pp.519-524
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    • 2021
  • Recently, the fourth industrial revolution has become an area of interest to many countries, mainly in major advanced countries. Artificial intelligence technology, the core technology of the fourth industrial revolution, is developing in a form of convergence in various fields and has a lot of influence on the edutech field to change education innovatively. This paper builds an experimental environment using the DTW speech recognition algorithm and deep learning on various native and non-native data. Furthermore, through comparisons with CNN algorithms, we study non-native speakers to correct them with similar pronunciation to native speakers by measuring the similarity of English pronunciation.

Study on the Development of Convergence Class Model about Marketing and Business English in Mongolia University (몽골 대학에서 상업영어와 마케팅 교과간 융합수업 모형 개발에 관한 연구)

  • Bayarmaa, Natsagdorj;Lee, Keunsoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.10
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    • pp.610-616
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    • 2018
  • A variety of creative convergence education studies have been conducted around the world, but the study of creative convergence education based on problem-oriented learning is insignificant. STEAM education development research for engineering human resources also recognizes important factors like ethics awareness and consideration, cooperation, leadership, and communication skills. This study developed a model of interdisciplinary classes between marketing and commercial English classes as a way to effectively learn to cultivate the creative and fusion talents required by modern society. A model was developed for the process of convergence classes to be developed for evaluation after class by designing courses, selecting subjects, designing classes, drawing questions, and developing problems, as well as for discussion of pre-convergence courses, class performance, and class evaluation. The Mongolian university discussed in this paper plans to introduce a suitable educational environment by developing a problem for interdisciplinary classes in marketing and business English. Based on the need to nurture talent required by the rapidly changing knowledge-based society, Mongolian universities should continue the strategy of fostering creative convergence talent through the convergence of technology. This is because creativity is the most important thing in the current situation.

The Verification of the Transfer Learning-based Automatic Post Editing Model (전이학습 기반 기계번역 사후교정 모델 검증)

  • Moon, Hyeonseok;Park, Chanjun;Eo, Sugyeong;Seo, Jaehyung;Lim, Heuiseok
    • Journal of the Korea Convergence Society
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    • v.12 no.10
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    • pp.27-35
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    • 2021
  • Automatic post editing is a research field that aims to automatically correct errors in machine translation results. This research is mainly being focus on high resource language pairs, such as English-German. Recent APE studies are mainly adopting transfer learning based research, where pre-training language models, or translation models generated through self-supervised learning methodologies are utilized. While translation based APE model shows superior performance in recent researches, as such researches are conducted on the high resource languages, the same perspective cannot be directly applied to the low resource languages. In this work, we apply two transfer learning strategies to Korean-English APE studies and show that transfer learning with translation model can significantly improves APE performance.

A Study on the Development of Programming Education Model Applying English Subject in Elementary School (초등학교 영어교과를 적용한 프로그래밍 교육 모델 개발)

  • Heo, Miyun;Kim, Kapsu
    • Journal of The Korean Association of Information Education
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    • v.21 no.5
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    • pp.497-507
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    • 2017
  • Research on software education and linking and convergence of other subjects has been mainly focused on mathematics and science subjects. The dissatisfaction of various preferences and types of learning personality cause to learning gap. In addition, it is not desirable considering the solution of various fusion problems that can apply the computational thinking. In this way, it is possible to embrace the diverse tendencies and preferences of students through the linkage with the English subject, which is a linguistic approach that deviates from the existing mathematical and scientific approach. By combining similarities in the process of learning a new language of English education and software education. For this purpose, based on the analysis of teaching - learning model of elementary English subject and software education, we developed a class model by modifying existing English subject and software teaching - learning model to be suitable for linkage. Then, the learning elements applicable to software education were extracted from the contents of elementary school English curriculum, and a program applied to the developed classroom model was designed and the practical application method of learning was searched.

Development of Korean dataset for joint intent classification and slot filling (발화 의도 예측 및 슬롯 채우기 복합 처리를 위한 한국어 데이터셋 개발)

  • Han, Seunggyu;Lim, Heuiseok
    • Journal of the Korea Convergence Society
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    • v.12 no.1
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    • pp.57-63
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    • 2021
  • Spoken language understanding, which aims to understand utterance as naturally as human would, are mostly focused on English language. In this paper, we construct a Korean language dataset for spoken language understanding, which is based on a conversational corpus between reservation system and its user. The domain of conversation is limited to restaurant reservation. There are 7 types of slot tags and 5 types of intent tags in 6857 sentences. When a model proposed in English-based research is trained with our dataset, intent classification accuracy decreased a little, while slot filling F1 score decreased significantly.

A Study on the Utilization of Speech Recognition Technology in Foreign Language Learning Applications - Focusing on English and French Speech - (외국어 학습용 어플리케이션의 음성 인식 기술 활용 현황 - 영어와 프랑스어 말하기 학습을 중심으로 -)

  • Kim, Sunhee;Jung, Hyunhoon
    • Journal of Digital Contents Society
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    • v.19 no.4
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    • pp.621-630
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    • 2018
  • This paper presents a case study on foreign language learning applications based on the speech recognition technology, aiming to grasp their current status and limitations of the technology applied to the foreign language speaking education, especially for English and French. As a result of examining the characteristics of the selected English and French applications by drawing on speech learning, it is shown that the use of speech recognition technology has the advantage of creating a speaking practice environment and giving feedback. However, in the case of feedback, there is a lack of appropriate calibration feedback which can help learners correct errors by themselves.

Error Analysis of Recent Conversational Agent-based Commercialization Education Platform (최신 대화형 에이전트 기반 상용화 교육 플랫폼 오류 분석)

  • Lee, Seungjun;Park, Chanjun;Seo, Jaehyung;Lim, Heuiseok
    • Journal of the Korea Convergence Society
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    • v.13 no.3
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    • pp.11-22
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    • 2022
  • Recently, research and development using various Artificial Intelligence (AI) technologies are being conducted in the field of education. Among the AI in Education (AIEd), conversational agents are not limited by time and space, and can learn more effectively by combining them with various AI technologies such as voice recognition and translation. This paper conducted a trend analysis on platforms that have a large number of users and used conversational agents for English learning among commercialized application. Currently commercialized educational platforms using conversational agent through trend analysis has several limitations and problems. To analyze specific problems and limitations, a comparative experiment was conducted with the latest pre-trained large-capacity dialogue model. Sensibleness and Specificity Average (SSA) human evaluation was conducted to evaluate conversational human-likeness. Based on the experiment, this paper propose the need for trained with large-capacity parameters dialogue models, educational data, and information retrieval functions for effective English conversation learning.