원문정보
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
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