정보교육학회논문지 (Journal of The Korean Association of Information Education)

  • 제18권1호
  • /
  • Pages.25-33
  • /
  • 2014
  • /
  • 1229-3245(pISSN)
  • /
  • 2733-8428(eISSN)
한국정보교육학회 (Korea Association of Information Education)
권호 표지
DOI QR코드

DOI QR Code

데이터 로깅 활용 Smart r-Learning이 학생들의 논리적 사고력에 미치는 효과

A Data Logging Smart r-Learning Effect on Students' Logical Thinking

  • 투고 : 2013.12.24
  • 심사 : 2014.03.11
  • 발행 : 2014.03.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

최근 교육용 로봇 하드웨어 발달로 연산 처리 속도 및 확장성이 매우 좋아졌다. 이에 따라 로봇 하드웨어에 MBL용 온도 센서나 자이로 센서도 호환되어 데이터 로깅이 가능해졌다. 데이터 로깅이 가능한 교육용 로봇으로 학생들은 과학적인 탐구 예측, 수집, 데이터 분석이 가능한 실험을 할 수 있게 된 것이다. 이에 본 연구에서는 학급 SNS와 스마트폰을 활용한 'Smart r-Learning'에 데이터로깅이 가능한 교육용 로봇을 도입하여 과학 프로젝트 수업을 개발하고 적용했다. 데이터 로깅 활용 Smart r-Learning 프로젝트 수업을 초등학교 5학년 학생들에게 적용한 결과 논리적 사고력 6개 영역 중 4개 영역이 유의미하게 향상된 것으로 나타났다.

Due to the recent development of educational robot hardwares, processing speed and scalability have been greatly improved. Thus, the robot hardwares that are compatible with temperature sensor for MBL and gyro sensor made a data logging possible. Students can conduct an experiment on scientific research and prediction, collecting and data analysis with robots that can process data logging. Therefore this research constructed and adopted science project class that introduced a Smart r-Learning that utilizes Class SNS and smartphone. As a result of applying a data logging smart r-Learning to elementary school 5th graders, it has shown that the students' logical thinking ability four of the six areas have been improved in t-test.

키워드

참고문헌

  1. Bauerle, A. & Gallagher, M.(2003). Toying With Technology: Bridging the Gap Between Education and Engineering. In C. Crawford et al. (Eds.), Proceedings of Society for Information Technology and Teacher Education International Conference 2003, 3538-3541.
  2. Chang jeong-Hee, Han Sang-ju, Jo Young-jun(2010), The Study on Ubiquitous Sensor Network of the Grand Olympic bridge for Utility Validation of Wireless Sensor Network, Computational Structural Engineering Institute of Korea APR 08, 597-600
  3. Eguchi, A.(2007). Educational Robotics for Elementary School Classroom. In R. Carlsen et al. (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference 2007, 2542-2549.
  4. Johnson, J(2003). Children, robotics, and education, Artificial Life and Robotics, 7-1, 16-21. https://doi.org/10.1007/BF02480880
  5. Jo mi-wha(2012), Adaptive Contents Transcoding Method for Combined Mobile Service Model, Dissertation, Soongsil University
  6. Kim chul(2012), An Analysis of Domestic Research Trend and Educational Effects in Relation to Robot Education, Journal of the Korean association of information education v.16, 233-243
  7. Lee Gil-Kyung, Hong Myung-Hui(2007), The study of Data Logging Model Development for ICT Instruction in elementary school, Journal of the Korean association of information education, v.14-1, 1410-1413
  8. Lee jae in, Yoo seoung han(2013), A Smart r-Learning teaching model developed using classroom SNS and Smartphone, Journal of the Korean association of information education v.17, 33-42
  9. Lee Yang-Ji, Kim Duck-Young, Hwang, Min-Soon, Cheong Young-Soo(2013), A Study on Data Pre-filtering Methods for Fault Diagnosis, Transactions of the Society of CAD/CAM Engineers, v.17, 97-110 https://doi.org/10.7315/CADCAM.2012.097
  10. McNab(2008), USB sensor and Utilizing the data logging storage, Electronic Engineering v.21, 136-138
  11. National instruments(2013), What is Data Logging, http://www.ni.com
  12. Papert, S.(1993). Mindstorms: Children, computers, and powerful ideas (2nd ed.). New York, NY: Basic Books.
  13. Science Cube(2013), The historical background of MBL, http://www.sciencecube.com
  14. Takahiro Nakajima, Ziqiu Xue, Jiro Watanabe, Yoshinori Ito, Susumu Sakashita(2013), Assessment of Well Integrity at Nagaoka $CO_2$ Injection Site Using Ultrasonic Logging and Cement Bond Log Data, Energy Procedia, Volume 37, 5746-5753 https://doi.org/10.1016/j.egypro.2013.06.497
  15. Wagner, S. P.(1998). Robotics and children: Science achievement and problem solving. Journal of Computing in Childhood Education, 9-2, 149-192.
  16. Wikipedia(2013), Data Logger, https://www.wikipedia.org

피인용 문헌

  1. 순환 신경망 기반 언어 모델을 활용한 초등 영어 글쓰기 자동 평가 vol.21, pp.2, 2014, https://doi.org/10.14352/jkaie.2017.21.2.161