메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
신수범 (Gonju Natl University)
저널정보
한국컴퓨터정보학회 한국컴퓨터정보학회논문지 한국컴퓨터정보학회 논문지 제20권 제11호
발행연도
2015.11
수록면
191 - 197 (7page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Recently, it has been activated the software education or coding education for the improvement of the Computational Thinking (CT) ability at home and abroad. Also the CT has influence on courses of Computer Science in the college levels. It has been introduced and the number of cases of using it to general K12 education has increased. However, the research on the software education’s influence on the CT was still lacking. So In this paper, we proposed this study has been conducted on how Scratch education in the elementary school level influenced the ability of the CT. And we proposed software education can improve the ability of CT.
First, we provided the theoretical base of the software education and evaluation process through analysis of computational thinking ability. A core analysis content of the CT is broader than algorithmic thinking and can be achieved without using computer. It includes abstract, algorithmic, logical, and measurable thinking. Second, we made efforts to improve the characteristics of the software education with categorization. Finally, we have managed the software education using Picoboard with Scratch and flowchart within 15 weeks based on these theocratical research. An examination of the effectiveness was committed to understand, analyze, and develop strategies of problem solving. It is designed as a strategy of problem solving before and after the software lesson. The result of the software education has improved authentically in all areas without the need to design a strategy for problem solving.

목차

Abstract
Ⅰ. Introduction
Ⅱ. CT analysis for Software Education
Ⅲ. A type of Software Education
Ⅳ. Study Design and Verification
Ⅴ. Conclusion
REFERENCE

참고문헌 (19)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2016-325-002163590