• The Mathematical Education
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• v.32 no.3
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• pp.220-243
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• 1993

고전검사이론과 문항반응이론을 사용하여 2-7차 실험정가 수리영역문항을 분석하였다. 2차부터 7차에 걸친 시험은 피험자에게 너무 어려웠으며 횟수를 거듭함에 따라 점점 더 어려워진 것으로 나타났다. 5차 실험평가 문항분석결과에서 문항 10과 15는 검토가 필요한 문항으로 나타났다. 그리고 7차 실험평가 문항분석결과에서 문항 11과 17은 검토가 필요한 문항으로 나타났다.

• Journal of Educational Research in Mathematics
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• v.14 no.4
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• pp.387-401
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• 2004

The recent international comparative studies such as PISA(Program for International Student Assessment) and TIMSS-R(Third International Mathematics and Science Study-Repeat) provide results of relative mathematics achievement of participating countries. The purpose of this paper is to compare the mathematics results of PISA and TIMSS-R. To make PISA and TIMSS-R results comparable, they were standardized. The close investigation of these standardized results reveals that the two Asian countries(Korea and Japan) and several English speaking countries have the commonality in mathematics achievement. Thus this study looks for patterns and similarities within a group of Asian countries(Korea and Japan) and Western countries(the U.S and Australia) by in-depth analysis of PISA mathematics achievement based on item response theory. As a result, it was noted that Western countries tend to perform well on open constructed items and are likely to perform better when an item involves less formal mathematics. On the other hand, Asian countries perform well when an item involves numeric or algebraic computation related to curriculum-based content, but they are relative poor at an item calls for verbal explanations or interpretations of graphs.

• Proceedings of the Korean Statistical Society Conference
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• 2003.10a
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• pp.149-154
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• 2003

문항반응이론(item response theory, IRT)에서는 문항이 가지고 있는 특성을 기초로 피험 자의 능력을 추정 하고 동시 에 각 문항별 문항특성곡선(item characteristics curve; ICC)을 이용하여 문항모수를 추정하게 된다. 이러한 추정알고리즘은 이미 외국에서는 상용화되 어 활용되고 있는바, 국내 에서 개 발한 Any Assess의 활용 가능성을 모의 실험을 통하여 그 결과의 신뢰성을 검증해 보았다.

• Journal of Internet Computing and Services
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• v.10 no.5
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• pp.145-152
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• 2009

Applications such as study guides and adaptive tutoring must rely on a fine grained student model to tailor their interaction with the user. They are useful for Computer Adaptive Testing (CAT), for example, where the test items can be administered in order to maximize the information. I study how to design learner tailoring question process for recommendation. And this process can be applied the CAT and I use the formal language such as CSP in each process development for efficient process design. I use the item difficulty of item response theory for question recommendation process and learner can choice the difficulty step for learning change to control the difficulty of question in next learning. Finally, this method displayed the structural difference to compare between existent and this process.

• Journal of Science Education
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• v.37 no.2
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• pp.278-293
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• 2013

The purpose of this study was to analyze the characteristics of multiple-choice test items used in assessment of high school integrated science according to 2009 revised curriculum. For the analysis of the tendency of item setting, we devised an analytic framework specific to integrated science, and analyzed the characteristics of items by applying the devised framework and item response theory. The results of the tendency of item setting revealed that most of items run counter to the intent of integrated science in terms of item resource, integration extent, and cognitive level, which means teachers are stick to separative method in teaching-learning and assessment of integrated science. The results of the analysis applying item response theory showed that item difficulty was appropriate and item discrimination was considerably high. However, there was no relevance between the tendency of item setting and qualitative characteristics of the items. We also discussed some agendas to improve the teaching-learning and assessment of integrated science based on the results of this study.

• The Journal of Korean Association of Computer Education
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• v.11 no.1
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• pp.65-74
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• 2008

In this paper, we introduce an analysis system for answer dataset by using a data mining method. We analyze students' answer data collected from a test including multiple choice question items, and find associations between the items. Analysis of evaluation results based on our system will not only provide correct information on students' achievement levels but also provides a basis for modifying weaknesses of the evaluation procedures, question items, or teaching/learning procedures. Furthermore, it will enable us to improve the quality of question items for future use so that we can secure itemsets of high quality.

• Journal of The Korean Association of Information Education
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• v.5 no.2
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• pp.268-278
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• 2001

This study is design and implementation of diagnosis module using item response theory to assess level of student's knowledge in web-based instruction systems. Item response theory uses responses to items on a test or survey questionnaire to simultaneously locate both the items on the latent trait defined by the set of items while simultaneously scaling each item on the very same dimension. Existing method of measurement in web-based instruction system provided dichromatic learning after to be assess just with the total scores of exam. This measurement has an error that do not consider the level of student's knowledge. Moreover, this method can't perform an exact diagnosis of student knowledge and make student modeling to construct intelligent tutoring system. In this study, we present that design and implement a diagnosis module using item response theory to assess level of student's knowledge in web-based instruction systems

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.321-327
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• 2013

Impaired naming difficulty is common in normal elderly as well as in patients with neurological impairment. The 60-item Korean version-Boston Naming Test(K-BNT) is one of the most commonly used test for measuring confrontational naming ability. However, age-related cognitive decline may make the elderly difficult concentrating during the 60-item test, therefore, item reduction of the K-BNT would improve test validity and reliability. Thus, the purpose of this study was to develop a short form of the K-BNT based on Item Response Theory(IRT). Considering item-fit index, sex factor, and item difficulty through Rasch analysis, the 15-item K-BNT(i.e., K-BNT-15) was developed. Via administration of the K-BNT-15, we observed age-related decline in naming ability and significantly different performance between the normal elderly and patients with mild cognitive impairment. This study demonstrates the utility of IRT for developing a short-form language evaluation tool. The K-BNT-15 can be effective as a language screening tool to differentiate between normal aging and pathological diseases.

• Communications for Statistical Applications and Methods
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• v.15 no.3
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• pp.465-481
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• 2008

Item response theory(IRT) estimates latent ability of a subject based on the property of item and item parameters using item characteristics curve(ICC) of each item case. The initial value and another problems occurs when we try to estimate item parameters of IRT(e.g. the maximum likelihood estimate). Thus, we propose the asymptotic approximation method(AAM) to solve the above mentioned problems. We notice that the proposed method can be thought as an alternative to estimate item parameters when we have small size of data or need to estimate items with local fluctuations. We developed 'Any Assess' and tested reliability of the system result by simulating a practical use possibility.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.4
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• pp.431-438
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• 2003

In this study, we have developed a web-based adaptive testing system using item response theory´s computerized adaptive testing to diagnose underachievers, and to check the evaluation results immediately. Adaptive testing system simple is not the fact that it presents a question to students. It calculates information of a question and presents the question to students. It controls the response of the students under extraction conditions of the next question. It extracts the question which is the most suitable it presents. In this adaptive testing system, you can extract questions according to the level of the students, and adjust the length and the level of the difficulty according to the response of the students.