영어권 한국어 학습자를 위한 모바일 학습 콘텐츠 연구 : 챗봇 말하기를 중심으로
저자
발행사항
서울 : 韓國外國語大學校 KFL大學院, 2023
학위논문사항
학위논문(석사) -- 韓國外國語大學校 KFL大學院 외국어로서의한국어교육학과 2023. 2
발행연도
2023
작성언어
한국어
주제어
DDC
495.107K 판사항(22)
발행국(도시)
서울
기타서명
A study on the design of mobile learning contents for English-speaking Korean learners : Focusing on Chatbot-Based speaking activities
형태사항
v, 131 p. : 삽도 ; 26 cm
일반주기명
한국외국어대학교 논문은 저작권에 의해 보호받습니다.
지도교수: 정해권
참고문헌: p. 102-112
UCI식별코드
I804:11059-200000654977
소장기관
With the development of the 4th industrial revolution, the COVID-19 crisis has accelerated the transformation of the educational paradigm, and beyond Blended Learning, which has demonstrated the utility and convenience of mobile media, independent mobile-based learning has become an essential facet, not merely an optional one. In the field of Korean language, it is not an exception. Independent mobile learning designs are necessary, for the nationality and scope of Korean learners are becoming increasingly more diverse, and for as not only learners with specific purposes such as academics and employment, but also potential learners suitable for mobile will continue to increase in the future depending on the impact of the Korean Wave.
Accordingly, based on the utility of chatbot-based language learning, where the availability of language learning has been continuously raised, this study intends to design a single Korean Speaking Course for English-speaking learners leveraging a pre-developed chatbot-based application for L2 learners. Thus, this study could overcome the limitations of previous research so far which have only proposed virtual chatbots or
designed and performed fragmentary units and a handful of tasks. This study will also be a springboard for proposing the direction of chatbot technology for future language learning.
In order to design independent mobile learning which can be applied in practice, this study established the criteria for learning design based upon the principles of mobile speaking education, and examined the educational effects and functions of chatbot technology and social media. After that, designed the learning time, learning environment, and learning content based on microlearning techniques enhancing learner engagement in mobile learning, NDAE model theory which allows learners to recognize and internalize their own goal expressions and apply them to actual speaking, and functional teaching outlines for the practical application of target grammar.
In conclusion, suitability of the actual course was judged by means of the analysis table suggested by the previous study. In addition, a satisfaction survey was conducted on 64 learners to determine the educational effectiveness of the designed course.
As a result, 53 out of 64 learners repeatedly listened to native speaker voices for speaking learning, 52 learners learned to follow along, and 55 outof 64 learners answered very positively in response to the question of whether native speech skills are helpful for speaking learning. This confirmed the possibility of independent mobile learning.
In addition, in the satisfaction question for the quiz format, which is a learning activity within the chatbot-based lesson, the very negative answers were close to 0%, indicating that chatbot-based quiz activities bore a positive impact on the end goal, speaking learning. Through this, chatbots equipped with speech technology for language learning have been shown to be well suited as a learning tool for speech learning.
In addition, in the section addressing whether social-media-based role-playing learning has helped them understand real-world situations, 33 answered "strongly yes" and 22 answered "yes," suggesting that 55 out of 64 learners were helped by learning through social media, suggesting that they could overcome the practicality of speaking, which was a limitation of traditional mobile learning.
When it comes to questions related to the content of the study, 28, 36, and 25 respondents respectively responded "strongly yes" to Korean cultural learning, role-playing scenarios, and colloquial expression learning satisfaction, which was found to be helpful for learners through the Korean Speaking Manual, which was written with the goal of "communication skills," to organize role play surrounding grammar and colloquial expressions for actual speaking, as well as to select and arrange the learning content according to the functional teaching syllabus.
As such, the study is significant in that it systematically designed the learning time, learning content, and learning environment for the creation of a single-featured, course, and applied it to the actual learner to the point of review, and revealed the possibility of independent mobile speaking learning. It is hoped that this study will serve as a springboard for the research pertaining to the design of Korean language learning content based on artificial intelligence, and that in the future, various technological developments for language learning and systematic content development from a pedagogical perspective will be actively carried out, and a variety of pioneering models of Korean distance education will be developed worldwide.
분석정보
서지정보 내보내기(Export)
닫기소장기관 정보
닫기권호소장정보
닫기오류접수
닫기오류 접수 확인
닫기음성서비스 신청
닫기음성서비스 신청 확인
닫기이용약관
닫기학술연구정보서비스 이용약관 (2017년 1월 1일 ~ 현재 적용)
학술연구정보서비스(이하 RISS)는 정보주체의 자유와 권리 보호를 위해 「개인정보 보호법」 및 관계 법령이 정한 바를 준수하여, 적법하게 개인정보를 처리하고 안전하게 관리하고 있습니다. 이에 「개인정보 보호법」 제30조에 따라 정보주체에게 개인정보 처리에 관한 절차 및 기준을 안내하고, 이와 관련한 고충을 신속하고 원활하게 처리할 수 있도록 하기 위하여 다음과 같이 개인정보 처리방침을 수립·공개합니다.
주요 개인정보 처리 표시(라벨링)
목 차
3년
또는 회원탈퇴시까지5년
(「전자상거래 등에서의 소비자보호에 관한3년
(「전자상거래 등에서의 소비자보호에 관한2년
이상(개인정보보호위원회 : 개인정보의 안전성 확보조치 기준)개인정보파일의 명칭 | 운영근거 / 처리목적 | 개인정보파일에 기록되는 개인정보의 항목 | 보유기간 | |
---|---|---|---|---|
학술연구정보서비스 이용자 가입정보 파일 | 한국교육학술정보원법 | 필수 | ID, 비밀번호, 성명, 생년월일, 신분(직업구분), 이메일, 소속분야, 웹진메일 수신동의 여부 | 3년 또는 탈퇴시 |
선택 | 소속기관명, 소속도서관명, 학과/부서명, 학번/직원번호, 휴대전화, 주소 |
구분 | 담당자 | 연락처 |
---|---|---|
KERIS 개인정보 보호책임자 | 정보보호본부 김태우 | - 이메일 : lsy@keris.or.kr - 전화번호 : 053-714-0439 - 팩스번호 : 053-714-0195 |
KERIS 개인정보 보호담당자 | 개인정보보호부 이상엽 | |
RISS 개인정보 보호책임자 | 대학학술본부 장금연 | - 이메일 : giltizen@keris.or.kr - 전화번호 : 053-714-0149 - 팩스번호 : 053-714-0194 |
RISS 개인정보 보호담당자 | 학술진흥부 길원진 |
자동로그아웃 안내
닫기인증오류 안내
닫기귀하께서는 휴면계정 전환 후 1년동안 회원정보 수집 및 이용에 대한
재동의를 하지 않으신 관계로 개인정보가 삭제되었습니다.
(참조 : RISS 이용약관 및 개인정보처리방침)
신규회원으로 가입하여 이용 부탁 드리며, 추가 문의는 고객센터로 연락 바랍니다.
- 기존 아이디 재사용 불가
휴면계정 안내
RISS는 [표준개인정보 보호지침]에 따라 2년을 주기로 개인정보 수집·이용에 관하여 (재)동의를 받고 있으며, (재)동의를 하지 않을 경우, 휴면계정으로 전환됩니다.
(※ 휴면계정은 원문이용 및 복사/대출 서비스를 이용할 수 없습니다.)
휴면계정으로 전환된 후 1년간 회원정보 수집·이용에 대한 재동의를 하지 않을 경우, RISS에서 자동탈퇴 및 개인정보가 삭제처리 됩니다.
고객센터 1599-3122
ARS번호+1번(회원가입 및 정보수정)