Earticle

초록

영어

Digital paradigms became the lens from where we view the world. Now all of us pay attention to how does the digital paradigms shift affect the world around us. In turn, the ongoing introduction of new technologies and the increasing importance of computational thinking continue to reframe the debate on instructional practice, improvement and student learning in education. Literature instructors are also today being forced to think about 'how to teach', rather than 'what to teach'. Aware of the issues, this paper proposes a new instructional model using big data suitable to be used to teach literary history. Today's learners are different. They had grown up surrounded with an excess of technology and media use in everyday life. This paper provides them with opportunities to make literary studies more attractive and easier to understand. Through this, it attempts to explore theoretically educational methodology of studying literary history in order to encourage learners' meaningful participation in classroom.

목차

Abstract
 1. Introduction
 2. Big Data for Long Term Analysis
 3. Computational Thinking and Literary Learning Process
  3.1. Applying Computational Thinking
  3.2. Data Visualization and Application
 4. Conclusion
 ACKNOWLEDGEMENTS
 References

키워드

저자

• Sora Lim [ Hankuk University of Foreign Studies ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605