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집단지성 기반 오답노트 시스템

Collective Intelligence based Wrong Answer Note System

  • 하진석 (공주대학교 대학원 컴퓨터교육학과) ;
  • 김창석 (공주대학교 대학원 컴퓨터교육학과)
  • Ha, Jin Seog (Dept. of Computer Education, Graduate School of Kongju National University) ;
  • Kim, Chang Suk (Dept. of Computer Education, Graduate School of Kongju National University)
  • 투고 : 2015.08.24
  • 심사 : 2015.10.06
  • 발행 : 2015.10.25

초록

본 논문은 적시학습을 위한 집단지성 기반 오답노트 시스템의 필요성과 개념을 제시하고 활용도 및 만족도를 보인다. 기존 오답노트 시스템은 평가문항에 대한 정답 여부를 체크하여 응답 결과가 오답인 문항에 대하여 일괄적인 정답 해설을 제공하는 특징을 갖고 있다. 이러한 특징은 학습자가 평가문항을 잘 이해하지 못하고 운 좋게 맞은 문항과 개별 학습자들의 오답 선택 과정에 대한 오류를 적절하게 피드백 받지 못하기 때문에 오답분석과 피드백 측면에서 많은 개선을 필요로 하고 있다. 본 논문에서는 이러한 '점수의 오류'를 개선하여 학습자의 취약점을 보완하는 새로운 방법인 SERO(Stability Emergency Risk Opportunity) 오답노트를 제안한다. SERO 오답노트는 자신이 풀어낸 평가문항들을 4가지 유형(S유형, E유형, R유형, O유형)으로 분류하고, 정답 해설 뿐만 아니라 집단지성을 이용한 다양한 오답노트 해설들을 제시하여 학습의 만족도를 높인다.

This paper presents the need for the concept of collective intelligence based system for the timely learning and incorrect notes show the utilization and satisfaction. The old wrong answer note system is characterized by the provision of uniform right answer explanations for the questions whose answers were wrong by checking whether the evaluation items were answered right or wrong. The characteristic requires a lot of improvements in terms of wrong answer analysis and feedback since it cannot properly receive feedback on the items that a learner got right by luck in spite of poor understanding of them and on the errors in the selection process of wrong answers by individual learners. The SERO wrong answer note was designed to propose new ways to identify and capture such "score errors" and compensate for the practical weaknesses of learners. The Stability Emergency Risk Opportunity (SERO) wrong answer note is based on a method of categorizing and analyzing evaluation items answered by the examinee into four types (S, E, R and O type), and commentary correct as well as incorrect answers by presenting a variety of commentary notes using the collective intelligence of the study show that satisfaction is high.

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참고문헌

  1. Kwon, Hyo-jin, Incorrect cause structural analysis through the self-assessment for high school mathematics achievement test results, PhD. thesis, Dongguk University, 2010.
  2. Park, Mi Hee, This feedback effect using the incorrect notes on mathematics achievement, Master thesis, Kookmin University, 2009.
  3. Park, Min-jeong, This class using an incorrect note effects on mathematics learning, Master thesis, Pusan National University of Education, 2009.
  4. Park, Byeong-mun, Incorrect evaluation form using a notebook feedback effects on mathematics learning- space geometry and spatial coordinates of the center section, Master thesis, Korea National University of Education, 2007.
  5. Lee, Min-gyeong, Design and implementation of problem banking system for web-based learning evaluation, Master thesis, Hanyang University, 2007.
  6. Park, Hyeon Joo, Design and implementation of web-based learning evaluation system level, Master thesis, Chungnam National University, 2007.
  7. Sin, Seung-hee, Design and implementation of web-based learning system incorporating incorrect notes, Master thesis, Kangwon National University, 2008.
  8. Kwon, Seungcheol, Incorrect image-based notes system developed for improving learning efficiency, Master thesis, Konkuk University, 2012.
  9. Polya, G., How to solve it, NY: Doubleday, 1957.
  10. Surowiecki, J., The wisdom of crowds. New York: Anchor Books, 2004.
  11. Ha, Jin Seog, A design of wrong answer note system model based on collective intelligence for just-in-time learning, PhD. thesis, Kongju National University, 2013.