• The Mathematical Education
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• v.53 no.2
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• pp.219-237
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• 2014

In this study we desire to deduce implications for mathematics curriculum, teaching- learning, and evaluation from the data of Nation Assessment of Educational Achievement. For this, first we extracted the items written by the same achievement standard over two years from 2010 to 2012. Next we investigated whether the items are the representative items of a certain proficiency level and classified into the case of the items of the same proficiency level and the case of the items of different proficiency levels. Based on these we analysed learning characteristic of the each proficiency level. From the results of the above, we proposed what should be changed in mathematics curriculum, what should be considered in teaching-learning, and what should be paid attention to test item development.

• Communications of Mathematical Education
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• v.22 no.2
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• pp.109-124
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• 2008

A characteristic of the national mathematics curriculum revised in 2007 is to repeal the level-oriented individualized curriculum and choose substance of individualized teaching and learning based on the student's achievement level and quality. To do this we first have to think through how to compare students' achievement and differentiate classes. In this paper, we introduce the (modified) Angoff method as a method for comparing students' achievement and the concept of representative items for each achievement level in the National Assessment of Educational Achievement of Mathematics, and discuss how to use them in individualized teaching and learning, especially comparing students' achievement.

• Journal of The Korean Association For Science Education
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• v.33 no.6
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• pp.1186-1201
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• 2013

We investigated student's characteristics in each educational achievement level using the results of the NAEA (National Assessment of Educational Achievement) in 2009, 2010, and 2011 for Grade 6 students, and compared the characteristics between elementary and middle school students. The analysis of representative items for each educational achievement level of elementary and middle school students revealed that (a) advanced level students from both elementary and middle school could exactly understand the achievement criteria of the curriculum, (b) proficient level students from both elementary and middle school were understanding the achievement criteria of the curriculum superficially, for example, they could not understand concepts exactly but could memorize terms, and so should have compensational education under situations that ask for short answer or essay type items instead of multiple choice items, and (c) basic level students from both elementary and middle school almost could not understand the achievement criteria of curriculum, and so should have compensational education under situations that only deal with a simple situation. Science concepts treated in science curriculum are hierarchically organized by level of school, and simple compensational education for the students of below basic level will not solve learning deficits in science education. Differentiated education by educational achievement should be largely expanded instead.

• Journal of the Korean Chemical Society
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• v.57 no.1
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• pp.127-137
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• 2013

We investigated student's characteristics in each educational achievement level using the results of the NAEA (National Assessment of Educational Achievement) in 2009 and 2010 for Grade 9 students. The analysis of representative items of each educational achievement level revealed that (a) advanced level students could explain the change in phenomena with both the characteristics of matter and the model, (b) proficient level students could explain only simple phenomena with the model, and (c) basic level students did not understand the model and were therefore unable to use it to explain phenomena.

• Journal of The Korean Association For Science Education
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• v.19 no.3
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• pp.355-366
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• 1999

In this study, the characteristics of science inquiry problem solving were analyzed in the interactions between science process skills and science concepts by each related its category. Nine types of problem solving, which were based on two elements and the thinking aloud were found largely by protocol analysis, but six types when integrated similar thinking processes. There were quite differences in the representative types between students who succeeded and failed when science inquiry items were solved in the abilities of recognizing problems and generating hypotheses or those of drawing conclusions and evaluating. But there were not complete differences in those types between students who succeeded and failed when they were solved in the abilities of designing and performing experiments or those of interpreting and analyzing data. The data were divided into independent variables: $D_1,\;D_2,\;D_3,\;D_4,\;D$ and $C_1,\;C_2,\;C_3,\;C_4,\;C$ and dependant variables; $E_1,\;E_2,\;E_3,\;E_4,\;E$. The former consisted of the content-free science process skill achievement levels by each category of science inquiry skill and the science concept achievement levels, the latter the science inquiry problem achievement levels by each category of science inquiry skill. The regression equations were acquired within the 0.05 significant level by regression analysis: $E_1=0.03+0.16D_1+0.29C_1,\;E_2=-0.203+0.21D_2+0.45C_2,\;E_3=-0.32+0.13D_3+0.47C_3,\;E_4=0.61+0.09D_4+0.29C_4,\;E=-1.41+0.13D+0.47C$(E : the achievement of science problems, D : the achievement of science process skills, C : the achievement of science concepts).