Treffer: 초등 수학교육에서 데이터 기반 문제해결 수업 모형 개발 ; An Instructional Model for Data-Driven Problem Solving in Elementary School Mathematics

Title:
초등 수학교육에서 데이터 기반 문제해결 수업 모형 개발 ; An Instructional Model for Data-Driven Problem Solving in Elementary School Mathematics
Authors:
Contributors:
임철일, Honey Kim, 사범대학 교육학과(교육공학전공)
Publisher Information:
서울대학교 대학원
Publication Year:
2023
Collection:
Seoul National University: S-Space
Document Type:
Dissertation doctoral or postdoctoral thesis
Language:
Korean
ISBN:
978-0-00-000000-2
0-00-000000-0
Relation:
000000175627; https://hdl.handle.net/10371/193780; https://dcollection.snu.ac.kr/common/orgView/000000175627; 000000000049▲000000000056▲000000175627▲
Accession Number:
edsbas.9BBAD9E7
Database:
BASE

Weitere Informationen

학위논문(석사) -- 서울대학교대학원 : 사범대학 교육학과(교육공학전공), 2023. 2. 임철일. ; With the advent of the 4th industrial revolution era, the explosive increase in knowledge and information demands a higher level of competency in solving complex problems and applying what has been learned in the context of life rather than acquiring fragmentary knowledge. In accordance with these changes, in the past, the ability to memorize a lot of knowledge and solve a given problem was valued, but now, data-driven problem solving capabilities that can make rational decisions based on data are required. Data-driven problem solving ability can be approached in two aspects: 'problem solving ability' and 'data-driven'. And mathematics and data science are highly valued as central fields for cultivating data-driven problem solving skills. The importance of mathematics and data science can also be seen in the 2022 revised curriculum. However, mathematics and data science learning in current school education has limitations in serving as a central subject for cultivating data-driven problem solving skills. The reason for this is, firstly, that although the possibility of using real-life data in education has increased, there are almost no cases in which data in real contexts are used in mathematics problem solving learning. Second, most data science education in school education tends to be conducted as a separate education, separated from general subjects, and is mainly focused on fostering computational thinking skills. Data-driven mathematics education can be considered as a way to overcome the limitations of mathematics and data science learning in school education and effectively develop data-driven problem solving skills. Research on data-driven education is continuously being conducted. However, most examples focus on data science itself. And rather than utilizing data within the curriculum context, the collection and analysis of data itself tends to be regarded as the purpose of instruction. In addition, looking at the cases so far, most of the ...