• Title/Summary/Keyword: 문항 반응 이론

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2005학년도 대학수학능력시험 '수리영역 가형'에 대한 문항분석

  • Lee, Gang-Seop;Kim, Jong-Gyu
    • Communications of Mathematical Education
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    • v.19 no.1 s.21
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    • pp.321-323
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    • 2005
  • 본 연구에서는 2004년 11월에 시행된 '2005학년도 대학수학능력시험 수리영역 가형' 의 문항을 분석하였다. 즉, 2-모수 문항 반응 모형에 근거한 베이지안(Bayesian) 1.0을 이용하여 문항의 난이도 및 변별도를 측정하였으며 고전검사이론 프로그램임 테스트안(Testan) 1.0을 이용하여 문항의 신뢰도 및 오답지 매력도를 구하였다. 이 결과는, 학생들이 어느 단원을 어려워하고 어떤 내용을 이해하지 못 하는지 그 원인을 찾을 수 있으므로, 교수-학습의 기초 자료로 활용할 수 있을 것이다.

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Computerized Adaptive Testing Using Bayesian Networks (베이지안 네트워크를 적용한 컴퓨터 적응적 평가)

  • Na, Sun-Woong;Choi, Yong-Suk
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06b
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    • pp.262-265
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    • 2011
  • 많은 학습 시스템에서 학습자의 수준에 맞는 맞춤학습을 위해서 학습자의 정확한 능력을 측정하는 평가 방법이 필요하다. 기존의 지필고사는 이를 위해서 학습자의 능력과 관련된 많은 수의 문항을 똑같은 시간과 순서대로 풀게 되므로 평가의 효율성 면에서 문제를 가지고 있다. 따라서 이러한 지필고사방식의 문제점을 해결하기 위해 문항정보이론과 컴퓨터의 처리성능을 결합시킨 컴퓨터화된 적응적 검사(CAT)에 대한 연구가 활발히 진행되고 있다. CAT는 지필고사의 문제점을 상당부분 해결했으나 문항간 연관성에 대해서는 독립을 가정하여 그렇지 않은 경우에는 비효율성을 가져올 수 있다. 본 논문에서는 문항반응이론 방식의 CAT가 가진 문제점을 해결하면서 성능이 개선된 베이지안 네트워크를 도입한 CAT를 제안한다. 이는 베이지안 네트워크에 평가문항을 세부분야별로 대입하여 한 문항에 대한 응답으로 그와 연관된 분야의 학습자 능력을 추론한다. 또한 실험을 통해 기존의 기법을 사용했을 때에 비해 학습자의 실제 능력치에 수렴하는 속도가 증가함을 보인다.

Design and Implementation of a Web-based Virtual Classroom with a Learning Appraisement Agent (학습 평가 에이전트를 갖는 웹 기반 가상 강의실의 설계 및 구현)

  • 홍지영;이종학;장정환
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10b
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    • pp.565-567
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    • 2001
  • 웹의 등장으로 인터넷이 보편화됨에 따라 웹을 기반으로 하는 가상 강의실이 많이 구축되고 시다. 웹을 기반으로 하는 가상 강의실은 학습자에게 많고 다양한 정보를 제공하는 장점이 있다. 하지만, 기존 가상 강의실 시스템에서 제공하는 학습내용이 대부분 교수의 임의의 한 수준으로 제공되고 있어 학습자 개개인의 학습수준이나 목적에 맞는 학습내용을 제공하지 못하는 문제점이 있다. 본 논문에서는 이러한 문제점을 해결하기 위하여 수준별 학습내용을 제공할 수 있도록 학습 평가 에이전트를 갖는 웹 기반 가상 강의실을 제안하고 구현한다. 본 가상 강의실의 학습 평가 에이전트는 학습자에게 학습 방향과 목표에 따라 수준에 맞는 학습내용을 제공하기 위하여 학습 전에 학습자의 학습수준을 테스트한다. 이러한 테스트를 위하여 학습 평가 에이전트는 테스트 항목들에 대하여 문항반응이론을 적용한다. 문항반응이론은 문항특성의 불변성, 능력추정의 정확성, 능력추정의 불변성을 가지고 있어 학습자의 단순한 평가가 아니라 학습자의 지식수준이나 이해정도를 구체적으로 평가할 수 있는 장점이 있다. 또한 본 논문에서는 이러한 가상 강의실의 구축에 필요한 데이타베이스 설계와 시스템 환경에 대한 내용을 포함한다.

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Construction of Tailored Learning Contents by Learner's Level using LCMS (LCMS를 이용한 학습자 수준별 맞춤형 학습 콘텐츠 구성)

  • Jeong, Hwa-Young
    • Journal of Internet Computing and Services
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    • v.11 no.2
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    • pp.165-172
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    • 2010
  • In Web-based learning systems, the techniques, as self-regulated learning, self-directed learning, are used to improve the effect of learner's study. These techniques are methods considering learner's study level but to consider the learner's study ability properly, the tailored course for learner should be applied. In this research, the learning system considering learner's study ability was proposed. To decide a learner's study ability, IRT(Item Response Theory) was applied and learning contents and question items were developed and applied by the degree of difficulty.

An Investigation of a Country-Level Diagnostic Assessment Model for the TIMSS (국제 수학·과학 성취도 추이 연구 분석을 위한 국가 수준 진단평가 모형 탐색)

  • Park, Chanho
    • Korean Journal of Comparative Education
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    • v.28 no.5
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    • pp.1-19
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    • 2018
  • The purpose of educational assessments such as the Trends in International Mathematics and Science Study (TIMSS) is to compare groups such as countries. When the unit of measurement is above the student level, group-level diagnostic assessment based on multilevel item response theory (ML-IRT) can be considered just as cognitive diagnosis models are developed from item response theory. This study suggests an ML-IRT-based group-level diagnostic assessment model by modifying an item feature model by Park and bolt (2008). The model is illustrated on the recently released TIMSS 2015 Grade 8 mathematics assessment. The results provide skill profiles for the studied countries and the nine cognitive attributes; that is, the attribute effects can be compared across the countries and also across the attributes. By controlling unexplained variance, the suggested model may provide more reliable and more informative group-level comparisons. The results are interpreted using an example. Limitations and directions for future research are also discussed.

Design and Implementation of a Learner Testing System with Item Response Theory (문항 반응 이론에 의한 학습자 평가 시스템 설계 및 구현)

  • Song, Eun-Ha;Park, Bock-Ja;Ha, Tae-Ryoung;Jeong, Young-Sik
    • The Journal of Korean Association of Computer Education
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    • v.6 no.2
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    • pp.1-8
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    • 2003
  • In existing the learner testing system, it has a weak point to determine differently the difficulty of each question which has been estimated by teacher's view and the subjective stand point. In this paper, we develops the learner testing system which supports the estimation of the individual ability of learner, provides the questions for suitable to the individual learner level, and able to estimate the question of individual that used by three parameters such as the difficulty parameter, discrimination parameter, and guessing parameter. Also, it is applied to three-parameters logistic model of IRT(Item Response Theory) for using CAT(Computer Adaptive Testing) technique.

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Rasch Rating Scale Modeling of the Disability Identity Scale (장애 정체감 척도의 Rasch 모형 적용)

  • Lee, Ick-Seop;Hong, Se-Hee;Shin, Eun-Kyoung
    • Korean Journal of Social Welfare
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    • v.59 no.4
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    • pp.273-296
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    • 2007
  • In this Study, to reconstruct the disability identity scale(Lee and Shin, 2006)), Rasch rating scale model was applied to the four sub-dimensions of the Disability Identity Scale in a sample of spinal cord injuries(N=397). The Disability Identity Scale was verified by explorative factor analysis and confirmatory factor analysis. However, factor analytic procedures can't evaluate item-fit indices, item difficulty, and appropriate scale category. A number of limitations posed by confirmatory factor analytic procedures can be averted with the use of Rasch rating scale model which is in the item response theory(IRT). So in this study, Rasch model was applied to the Disability Identity Scale. Results revealed that (A) 20 items were selected from Rasch model, (B) the difficulty level of the Disability Identity Scale was the average level, (C) 4-point rating scale was appropriate for the Disability Identity Scale. Finally, we could suggest that the sub-dimensions concepts of the disability identity became clearer and items were to the good fitting.

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수학교사 양성기관에서 실시되는 지필고사 문항의 실증적 분석

  • Lee, Gang-Seop;Baek, Chang-Mi
    • Communications of Mathematical Education
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    • v.18 no.2 s.19
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    • pp.143-154
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    • 2004
  • 학교에서 실시되는 평가의 주체는 교사이므로, 교사는 '좋은 평가 도구'를 개발 ${\cdot}$ 제작 할 수 있어야 한다. 좋은 평가 도구를 제작하기 위해서는 이에 대한 직접적인 훈련이 필수적인 동시에 교사 교육의 첫 단계부터 좋은 평가 도구로 평가를 받는 간접 경험도 중요하다. 이 논문에서는 문항반응이론을 적용하여 수학교사 양성기관에서 사용되는 지필고사 문항에 대하여 신뢰도, 타당도, 난이도 및 변별도를 측정하였다. 이 결과는 평가 문항을 개발할 때에 기초자료로 사용될 수 있다.

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Construction of Parent attachment Scale for Children (초등학생용 부모애착척도의 구성)

  • Lee, Hyun-Sook;Hong, Sang-Hwang
    • The Korean Journal of Elementary Counseling
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    • v.9 no.2
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    • pp.143-162
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    • 2010
  • The purpose of this study is to construct Parent Attachment Scale for Children. Adapting the item consisting method used in Experiences in Close Relationships-Revised(ECR-R), Parent Attachment Scale for Children was constructed to measure child's attachment style with their parent, reliably and validly. Also, reliability and item trait informations based on item response theory were reviewed. First preliminary items were derived from the original items of ECR-R and existing Attachment Inventories. These items were modified and complemented to be easier and keep the original meaning of each item. Second preliminary items were administrated to 4~6th grades students(N=576). Finally, Parent Attachment Scale for Children were consisted with 30 items based on two-parameter graded response model. Internal consistency ranges of the scales of Parent Attachment Scale for Children are as follows : Avoidance scale is .94~.96; Anxiety scale is .85~.88. Test-retest reliability ranges are as follows; Avoidance scale is .71~.80; Anxiety scale is .53~.68. Item discrimination and item information value were within an appropriated range. Hierarchical cluster analysis with Ward's Method revealed four types of attachment style : Secure, Dismissing, Preoccupied, Fearful. Other implications and limitations of this study were discussed.

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Goodness of fit of martial arts training satisfaction scale applying Many-Facets Rasch model (Many-Facets Rasch 모형을 적용한 무도수련만족 척도의 적합도 - 경호무도 수련자를 중심으로 -)

  • Kim, Woo-Jin;Kim, Hye-Seon
    • Korean Security Journal
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    • no.42
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    • pp.37-57
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    • 2015
  • The purpose of this study was to verify goodness-of-fit by Many-Facets Rasch model for applying martial arts training satisfaction scale to security martial arts trainees. To achieve the purpose, 255 security martial arts trainees' data were used in the analysis. In addition, In addition, the AMOS 20.0 program was used for unidimensionality validation, and take advantage of the Facets 3.61 program for goodness-of-fit verification. Specific results are as follows: First, Unidimensionali test results showed that model fit, reliability and standardized ${\beta}$ value are suitable. Second, the analysis results of goodness-of-fit, items 1, 2, 3 are inadequate, 4, 8, 11, 13, 14 items once found to be over-fit questions. Also, analysis of item difficulty, item 1 has highest difficulty and item 7 was lowest. Third, According Facets item difficulty and response difference verification result, female group exhibited a high level of item difficulty compared to the male group, goodness-of-fit was all accurate. As the result of item difficulty and response difference verification based on Martial arts training flow, there is no response difference according to the training experience. On the other hands, less than 4 years to 5 years and less than 5 years to 6 years trainees represented over-fit features. Results of item difficulty and response difference verification by grade level, first grade was the most highly recognized the item difficulty and fourth grade was also recognized the lowest of item difficulty Fourth, the response category analysis showed that the six points response categories are not appreciate.

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