Analyses of Question Types and Evidence Evaluation Types in Big Data Analysis for 7th Grade Students

• 발행기관: 한국교원대학교 뇌·AI기반교육연구소
• 저자명: 유다연 임수민 김영신
• 간행물 정보: 『Brain, Digital, & Learning』제13권 제4호, 383~395쪽, 전체 13쪽
• 주제분류: 사회과학 > 교육학
• 파일형태: PDF
• 발행일자: 2023.12.31

국문 초록

The purpose of this study was to analyze the types of questions generated through big dataanalysis, establish hypotheses based on the generated questions, and determine authenticityby analyzing the types of evidence evaluation. To this end, ‘COVID-19’ and ‘yellow dust’,which are relatively familiar subjects and various types of big data have been accumulatedin large quantities, were selected as research themes. The subjects of the study were 137 7thgrade students, 72 male students, and 65 female students. The results of the study are asfollows. First, in big data analysis, questions were created centered on conjectural questions. Second, among the types of evidence evaluation, the rejection type did not appear. Therefore, it is necessary to establish a teaching strategy so that various types of questionscan be presented. In addition, it is necessary to teach how to critically judge collected bigdata and how to use various big data.

목차

Introduction

Research Methodology

Results

Discussion

Conclusion

Conflicts of Interest

References

키워드

Scientific questions evidence evaluation big data analysis middle school students