MATHEMATICS NATIONAL EXAMINATION 2018 ANALYSIS USING ITEM RESPONSE THEORY
National Examination is an instrument to evaluate education system in Indonesia that held annually by Pusat Penilaian Pendidikan, Depdiknas. Due to its importance, National Examination need to be fair for all Indonesian student. Item Response Theory is a method that offer the evaluations for ever...
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id-itb.:391482019-06-24T10:50:57ZMATHEMATICS NATIONAL EXAMINATION 2018 ANALYSIS USING ITEM RESPONSE THEORY Nindita Chrismono S, Aileen Indonesia Final Project item response theory, difficulty item, ability level. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/39148 National Examination is an instrument to evaluate education system in Indonesia that held annually by Pusat Penilaian Pendidikan, Depdiknas. Due to its importance, National Examination need to be fair for all Indonesian student. Item Response Theory is a method that offer the evaluations for every student goes fair and does not depends on the problem of the test. In this project, we review one of popular IRT model, logistic one-parameter which only use difficulty parameter as a differentiator for each item. Existing data on 103.974 high-school student in Central Java responded to Mathematics National Examination 2018 are used to exemplify typical applications on IRT such as EM method and EAP method. The results will be compared by the actual phenomenon. Then, we can analyze by comparing every test packet or comparing every city. These examples illustrates how IRT can be used to improve the development, refinement, and evaluation of national examination especially in Central Java. text |
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National Examination is an instrument to evaluate education system in Indonesia
that held annually by Pusat Penilaian Pendidikan, Depdiknas. Due to its importance,
National Examination need to be fair for all Indonesian student. Item
Response Theory is a method that offer the evaluations for every student goes fair
and does not depends on the problem of the test.
In this project, we review one of popular IRT model, logistic one-parameter which
only use difficulty parameter as a differentiator for each item. Existing data on
103.974 high-school student in Central Java responded to Mathematics National
Examination 2018 are used to exemplify typical applications on IRT such as EM
method and EAP method. The results will be compared by the actual phenomenon.
Then, we can analyze by comparing every test packet or comparing every city. These
examples illustrates how IRT can be used to improve the development, refinement,
and evaluation of national examination especially in Central Java. |
format |
Final Project |
author |
Nindita Chrismono S, Aileen |
spellingShingle |
Nindita Chrismono S, Aileen MATHEMATICS NATIONAL EXAMINATION 2018 ANALYSIS USING ITEM RESPONSE THEORY |
author_facet |
Nindita Chrismono S, Aileen |
author_sort |
Nindita Chrismono S, Aileen |
title |
MATHEMATICS NATIONAL EXAMINATION 2018 ANALYSIS USING ITEM RESPONSE THEORY |
title_short |
MATHEMATICS NATIONAL EXAMINATION 2018 ANALYSIS USING ITEM RESPONSE THEORY |
title_full |
MATHEMATICS NATIONAL EXAMINATION 2018 ANALYSIS USING ITEM RESPONSE THEORY |
title_fullStr |
MATHEMATICS NATIONAL EXAMINATION 2018 ANALYSIS USING ITEM RESPONSE THEORY |
title_full_unstemmed |
MATHEMATICS NATIONAL EXAMINATION 2018 ANALYSIS USING ITEM RESPONSE THEORY |
title_sort |
mathematics national examination 2018 analysis using item response theory |
url |
https://digilib.itb.ac.id/gdl/view/39148 |
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