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논문검색

Resolving Early English Education Issue Using Data Analytics

초록

영어

As the starting age of English education becomes younger around the world where they teach English as a foreign language, the debate on early English education is an unsettling issue as not only academic research, but also educational policy. To resolve the unsettled issues, a new approach is used: the big data and its analytics. To explore the pros and cons of the early English education, the study uses the analysis of research abstracts collected from scholars.google.com and www.kci.go.kr. It also analyzes the data posted on the discussion sites such as agora, daum café and naver café, plus daily interactions of the early English education using SNS. The study uses opinion mining technique using tools such as Sisense and WEKA to lay out the data and analyze them as basic data analytics. The results show that pro early English education is commonly co-occur with critical period, lateralization, ultimate attainment, universal grammar, fossili-zation, inhibition, acquisition process, bilingualism and exposition. Essays against early English education are related to no critical period, no authentic input, not effective, no universal grammar, national identity loss, self-identity loss and L2 interference. Other extraneous factors are based on practical problems such as social pressure, outcome pressure, political pressure, test reform and statistics.

목차

Abstract
 1. Introduction
 2. Arguments for Early English Education
  2.1. Linguistic Argument
  2.2 Socio-linguistic Argument
  2.3. Biological Argument
 3. Arguments against Early English Education
 4. Practical Discussions
  4.1 Social Pressure
  4.2. Political Pressure
  4.3. Statistics
  4.4. Successes and Problems
 5. Conclusion
 References

저자정보

  • Jeong-ryeol Kim Dept. of Elementary Education, Korea National University of Education
  • Je-Young Lee Dept. of English Education, Sehan University, KOREA

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