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A Comprehensive Review on r-Learning: Authentic r-Learning Beyond the Fad of New Educational Technology

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence KCI 등재 바로가기
  • 통권
    Volume 9 Number 2 (2020.06)바로가기
  • 페이지
    pp.28-37
  • 저자
    Sung Eun Jung, Jeonghye Han
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A378321

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원문정보

초록

영어
We conducted a comprehensive review on the previous research on r-Learning. By reviewing 843 previous studies about r-Learning published from 2004 to 2015, this study investigated 1) the trend of research on r-Learning over time, 2) the characteristics of targeted students in r-Learning, 3) the educational activities implemented for r-Learning, and 4) the types of educational robots used for r-Learning. The study found that the research on r-Learning has rapidly and steadily increased and the types of educational activities and educational robots has been diversified. Relying on the findings of this review, this study suggests 1) ensuring growth in both the quality and the quantity of research on r-Learning, 2) broadening the target student population of r-Learning beyond the age-limited boundaries, 3) enhancing educational activities of r-Learning, and 4) recognizing the necessity for systematic and clear concepts of types of educational robots.

목차

Abstract
1. INTRODUCTION
2. METHODS
2.1 LITERATURE SELECTION PROCESS
2.2 Data Analysis
3. RESULTS
3.1 Trend of Research on R-Learning
3.2 The Characteristics of Targeted Student Populations
3.3 Educational Activities Using r-Learning
3.4 The Types of Educational Robots Used for R-Learning
4. DISCUSSIONS
5. CONCLUSION
REFERENCES

키워드

r-Learning Robotics Education Educational Robots Robot-assisted Learning Programming Engineering Practice

저자

  • Sung Eun Jung [ Assistant Professor of Practice , Department of Teaching, Learning, and Sociocultural Studies, The University of Arizona, U.S ]
  • Jeonghye Han [ Professor, Department of Computer Education, Cheong Ju National University of Education, South Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / The International Journal of Advanced Smart Convergence Volume 9 Number 2

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